KR20180131925A - Program, method and system for providing recommendation contents - Google Patents

Abstract

According to an embodiment of the present invention, there is provided an information processing method comprising: a concern setting step of setting a concern of a first user based on an input of a first user; A matching determination step of analyzing a web browsing signal of a second user having a connection relationship with the first user to determine whether the web browsing content matches the interest of the first user; Determining whether to recommend the content to a second user when it is determined that the content matches the interest of the first user; And providing the content to the first user as a recommended content if the second user agrees to recommend the content to the first user; A recommendation content providing method is provided.

Description

TECHNICAL FIELD [0001] The present invention relates to a recommended content providing system, a method,

The present invention relates to a recommended content system, a method, and a program. More particularly, the present invention relates to a system and method for recommending contents, and more particularly, to a system and method for recommending contents, To a system, a method and a program for providing recommended contents to a user.

2. Description of the Related Art [0002] In recent years, as the availability and accessibility of communication networks such as the Internet have increased, there has been a rapid increase in demand for users to share contents on the Internet, and services for providing an interface for sharing contents among users are actively provided Trend.

On the other hand, in recent years, based on the web, a service in which people can strengthen existing network connections or create a new network can be provided in connection with existing services.

According to an embodiment of the present invention, the recommendation content provided to the first user may be recommended only by a second user who matches the interests of the first user and simultaneously has a connection relationship with the first user.

According to an embodiment of the present invention, the web browsing content of the second user may be monitored in real time to inquire whether or not to recommend the content to the first user.

According to an embodiment of the present invention, the benefit may be paid to the second user based on the feedback of the first user to the recommended content.

According to an embodiment of the present invention, there is provided a method for setting a preference of a first user based on an input of a first user; A matching determination step of analyzing a web browsing signal of a second user having a connection relationship with the first user to determine whether the web browsing content matches the interest of the first user; Determining whether to recommend the content to the second user when it is determined that the content matches the interest of the first user; And providing the content to the first user as a recommended content if the second user agrees to recommend the content to the first user; A recommendation content providing method is provided.

In the present invention, the matching determination step may include matching the content with the interest of the first user based on whether a tag included in the content being browsed by the second user corresponds to the interest of the first user .

In the present invention, the matching determination step determines whether the content matches the interest of the first user based on at least one of the number of views, the number of citations, or the creator of the content being browsed by the second user Can be adjusted.

In the present invention, the matching determination step adjusts a criterion for determining whether the content matches the interest of the first user based on whether the connection relationship between the first user and the second user is one-way or two-way .

In the present invention, the interest setting step sets interests based on the web browsing history of the first user, and when the search word input operation is performed in the web browsing history of the first user, Can be set.

In the present invention, the setting of the interest may include: extracting a common word among the two or more input queries existing in the web browsing history based on the web browsing history of the first user, If the input frequency of a specific keyword among the two or more input keywords is equal to or greater than a preset value, the specific keyword may be set as a keyword of interest.

In the present invention, the interest setting step may acquire a search term input by the first user, and set an upper category of the input search term as a concern keyword.

 In the present invention, the recommendation content providing step may receive the filtering reference from the first user and provide only the content satisfying the filtering criterion to the first user as the recommended content.

In the present invention, the method may further include obtaining an evaluation of the first user for the recommended content of the second user, and providing benefits to the second user based on the evaluation.

In the present invention, the matching determination step may adjust a criterion for determining whether the recommended content matches the interest of the first user based on the evaluation of the first user for the recommended content.

A computer program stored in a computer-readable recording medium for executing the recommended content providing method of the present invention is provided.

According to an embodiment of the present invention, there is provided a computer-implemented server recommended content providing system, comprising: a memory for storing a command readable by a computer; And at least one processor configured to execute the instruction, wherein the at least one processor comprises: an interest setting unit that sets a first user's interest based on an input of the first user; A matching determining unit for analyzing a web browsing signal of a second user having a connection relationship with the first user to determine whether the content being browsed by the web and the interest of the first user are matched; A recommendation decision unit for inquiring of the second user whether or not the content is recommended if the content and the interest of the first user are matched; A recommended content providing unit for providing the first user with the content as a recommended content when the second user agrees to recommend the content to the first user; And a recommendation content providing system including the recommendation content providing system.

In the present invention, the matching determination unit may determine whether the content matches the interest of the first user based on whether the tag included in the content being browsed by the second user corresponds to the interest of the first user It can be judged.

In the present invention, the matching determination unit may determine whether the content matches the interest of the first user based on at least one of the number of views, the number of citations, or the creator of the content being browsed by the second user You can adjust the criteria.

 In the present invention, the interest setting unit may set a concern based on the web browsing history of the first user, and may set the entered search term as a concern keyword when there is a search word input operation in the web browsing history of the first user .

 In the present invention, the recommended-content providing unit may receive a filtering criterion from the first user and provide only the content satisfying the filtering criterion to the first user as the recommended content.

The present invention may further include a benefit providing unit for obtaining an evaluation of the first user for the recommended content of the second user and providing benefits to the second user based on the evaluation.

According to the present invention, since the recommendation content provided to the first user can be recommended only by the second user who has a connection relationship with the first user at the same time as that of the first user, the suitability of the recommended content is increased .

According to the present invention, since the web browsing content of the second user is monitored in real time to inquire whether or not to recommend the content to the first user, it is possible to eliminate the process of selecting the recommended content separately from the second user, Recommendable content can be provided.

In addition, according to the present invention, the second user can provide the incentive to recommend the content to the first user by providing the second user with the benefit based on the first user's feedback on the recommended content.

1 is a diagram illustrating an example of a network environment according to an embodiment of the present invention.
2 is a block diagram illustrating an internal configuration of a first user terminal, a second user terminal, and a server according to an embodiment of the present invention.
FIG. 3 is a diagram illustrating an example of a component that a processor of a server according to an embodiment of the present invention may include.
FIG. 4 is a time-series diagram illustrating a recommended content providing method according to an embodiment of the present invention.
5 is a diagram for explaining setting of interest according to an embodiment of the present invention.
FIG. 6 is a diagram for explaining whether or not matching is performed according to an embodiment of the present invention.
7 is a diagram for explaining providing recommendation contents according to an embodiment of the present invention.

The following detailed description of the invention refers to the accompanying drawings, which illustrate, by way of illustration, specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, the specific shapes, structures, and characteristics described herein may be implemented by changing from one embodiment to another without departing from the spirit and scope of the invention. It should also be understood that the location or arrangement of individual components within each embodiment may be varied without departing from the spirit and scope of the present invention. Therefore, the following detailed description is not to be taken in a limiting sense, and the scope of the present invention should be construed as encompassing the scope of the appended claims and all equivalents thereof. In the drawings, like reference numbers designate the same or similar components throughout the several views.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings in order to facilitate a person skilled in the art to which the present invention pertains.

1 is a diagram illustrating an example of a network environment according to an embodiment of the present invention.

The network environment of FIG. 1 includes a plurality of first user terminals 111, 112, 113 and 114, second user terminals 121, 122, 123 and 124, a plurality of servers 150 and 160, 170). ≪ / RTI > 1, the number of first and second user terminals and the number of servers are not limited to those shown in FIG.

The plurality of first user terminals 111, 112, 113, 114 or the second user terminals 121, 122, 123, 124 may be a fixed terminal implemented by a computer device or a mobile terminal. Examples of the plurality of user terminals include a smart phone, a mobile phone, a navigation system, a computer, a notebook, a digital broadcasting terminal, a PDA (personal digital assistant), a portable multimedia player (PMP), and a tablet PC. For example, user terminal 1 111 may communicate with other user terminals 112, 113, 114, 121, 122, 131, 141 and / or servers 150, 160 via network 170 using a wireless or wired communication scheme. ). ≪ / RTI >

The communication method is not limited, and may include a communication method using a communication network (for example, a mobile communication network, a wired Internet, a wireless Internet, a broadcasting network) that the network 170 may include, as well as a short-range wireless communication between the devices. For example, the network 170 may be a personal area network (LAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN) , A network such as the Internet, and the like. The network 170 may also include any one or more of a network topology including a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or a hierarchical network, It is not limited.

Each of the servers 150 and 160 communicates with the plurality of first user terminals 111, 112, 113 and 114 or the second user terminals 121 and 122 through a network 170, Code, file, content, service, or the like, or a plurality of computer devices.

For example, the server 160 may provide a file for installation of an application to the user terminal 1 (111) connected through the network 170. In this case, the user terminal 1 (111) can install an application using a file provided from the server (160). The server 150 may be connected to the server 150 under the control of an operating system (OS) included in the user terminal 1 111 and at least one program (for example, a browser or an installed application) Contents can be provided. For example, when the user terminal 1 (111) transmits a service request message to the server 150 via the network 170 under the control of the application, the server 150 transmits a code corresponding to the service request message to the user terminal 1 And the user terminal 111 can provide the contents to the user by displaying and displaying a screen according to the control of the application according to the control of the application.

2 is a block diagram illustrating an internal configuration of a first user terminal, a second user terminal, and a server according to an embodiment of the present invention.

In FIG. 2, an internal configuration of the first user terminal 110 and the second user terminal 120 as an integrated example of the first and second user terminals and the server 150 as an example of one server will be described.

The first user terminal 110, the second user terminal 120 and the server 150 are connected to the memory 211, 221 and 251, the processors 212, 222 and 252, the communication modules 213, 223 and 253, Interfaces 214, 224, and 254, respectively. The memory 211, 221, and 251 may be a computer-readable recording medium and may include a permanent mass storage device such as a random access memory (RAM), a read only memory (ROM), and a disk drive have. The memory 211, 221, and 251 may store an operating system and at least one program code (for example, a browser installed in the user terminal 111 and a code for the above-described application). These software components may be loaded from a computer readable recording medium separate from the memory 211, 221, 251 using a drive mechanism. Such a computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD / CD-ROM drive, and a memory card. In other embodiments, the software components may be loaded into memory 211, 221, 251 via communication modules 213, 223, 253 rather than a computer readable recording medium. For example, at least one program may be a program installed by a file distribution system (for example, the server 160 described above) that distributes installation files of developers or applications, 221, < / RTI > 251 based on the application (s) described above.

Processors 212, 222, and 252 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and I / O operations. An instruction may be provided to the processor 212, 222, 252 by the memory 211, 221, 251 or the communication module 213, 223, 253. For example, the processor 212, 222, 252 may be configured to execute instructions received in accordance with a program code stored in a recording device, such as memory 211, 221, 251.

The communication modules 213, 223 and 253 may provide a function for the first user terminal 110 or the second user terminal 120 and the server 150 to communicate with each other through the network 170, And may provide a function for communicating with a terminal or another server (e.g., server 160). For example, when the processor 212 of the first user terminal 110 receives a request (for example, a recommended content provision request by acquaintances) generated in accordance with a program code stored in a recording device such as the memory 211, May be transmitted to the server 150 via the network 170 under the control of the server 150. [ Conversely, a control signal, a command, a content, a file, and the like provided under the control of the server 150 processor 252 are transmitted to the communication module 223 of the first user terminal 110 via the communication module 223 and the network 170 213 to the first user terminal 110. For example, the control signals and commands of the server 150 received through the communication module 213 may be transmitted to the processor 212 or the memory 211, and contents or files may be transmitted to the first user terminal 110, May be stored as a storage medium.

The input / output interfaces 214, 224 and 254 may be means for interfacing with the input / output device 215. For example, the input device may include a device such as a keyboard or a mouse, and the output device may include a device such as a display for displaying a communication session of the application. As another example, the input / output interface 214 may be a means for interfacing with a device having integrated functions for input and output, such as a touch screen. The processor 212 of the first user terminal 110 may use the data provided by the server 150 or the second user terminal 120 in processing the instructions of the computer program loaded into the memory 211. [ A service screen or contents configured by the user can be displayed on the display through the input / output interface 214. [

Also, in other embodiments, the first user terminal 110, the second user terminal 120, and the server 150 may include more components than the components of FIG. However, there is no need to clearly illustrate most prior art components. For example, the first user terminal 110 or the second user terminal 120 may be implemented to include at least some of the input / output devices 215 described above, or may be implemented as a transceiver, a Global Positioning System (GPS) , Various sensors, databases, and the like.

FIG. 3 is a diagram illustrating an example of a component that a processor of a server according to an embodiment of the present invention may include.

3, the processor 252 of the content recommendation system according to an exemplary embodiment of the present invention includes a knowledge management unit 310, a concern setting unit 320, a matching determination unit 330, a recommendation determination unit 340, A recommended content providing unit 350, and a benefit providing unit 360. The components of the processor 252 and the processor 252 may control the server 150 to perform the steps S1 to S6 included in the recommended content providing method of FIG. For example, components of processor 252 and processor 252 may be implemented to execute instructions in accordance with at least one program code and code of an operating system that memory 251 of server 150 includes.

FIG. 4 is a time-series diagram illustrating a recommended content providing method according to an embodiment of the present invention.

Hereinafter, the operation of the recommended content providing system and method of the present invention will be described with reference to FIG. 3 and FIG.

First, the acquaintance managing unit 310 establishes a connection relationship between users, and more specifically, sets an acquaintance relationship between the first user and the second user (S1). In the present invention, a connection relationship between users can be referred to as an acquaintance relationship, and can mean a connection relationship between user accounts that can be set in a portal, a social media, a blog, an online community, and the like. The personal relationship between users may be created by the applicant's consent to the application or application of the user.

According to one embodiment of the present invention, the acquaintance relationship can be divided into a first-stage acquaintance relationship in which only one of the users agrees to establish the acquaintance relationship, and a second-stage acquaintance relationship in which both users agree to establish the acquaintance relationship have. For example, a first user may apply for a second user as an acquaintance, and a one-step acquaintance relationship between the first user and the second user may be created at this time. Also, a second-level personal relationship may be created when the second user accepts the first user's acquaintance. Although the present invention can be applied to both the first-stage acquaintance relationship and the second-stage acquaintance relation, it is possible to make a difference in concrete matters for providing the recommended content to be described later. This will be described later.

Hereinafter, the present invention will be described on the assumption that the first user is an object of content, and the second user is a recommender of contents.

The interest setting unit 320 sets the interest of the first user based on the input of the first user (S2). The interest of the first user is related to the content desired by the first user, and may be all items related to the content desired by the first user regardless of the format such as keyword, image, music, and moving picture. A plurality of interests may also be set for the first user. For example, the interest setting unit 320 may set the interest keyword of the first user, who is usually interested in fashion, as 'fashion', set the interest image as the fashion item image, and set the interest video as the fashion show video . Since the interest of the user is subjective, the interest setting unit 320 of the present invention sets a criterion for setting the interest of the user, and when the specified item satisfies the criterion, the specific item can be registered as the interest of the user. For example, the interest setting unit 320 may provide examples of a plurality of interest keywords to the user and allow the user to directly select interest keywords of interest.

According to the present invention, by separately setting and storing interests of a first user, even if a second user who is in an affiliation relationship with the first user can not immediately recommend the content to the interests of the first user, It is possible to recommend the content to the first user when the content related to the interest is found during web browsing.

In an alternative embodiment, the interest setting unit 320 may set the interests of the first user based on the web browsing history of the first user. At this time, the interest setting unit 320 may set the search word inputted when the search word input operation is performed in the web browsing history of the first user as the interest keyword. For example, when a user inputs a search word on a web page providing a search service, the inputted search word can be set as a keyword of interest. To this end, the server 150 may acquire a search word inputted by the user or acquire the user's web browsing history.

In an alternative embodiment, the interest setting unit 320 may set an upper category of the inputted search word as an interest keyword, or extract some words of the inputted search word to determine the interest keyword. For example, when the first user inputs the 'KOSPI index' as a search term, the interest setting unit 320 determines that the interest of the first user is not only the KOSPI index but also the stock market, Quot; stock " can be determined as the interest keyword of the first user. In addition, for example, when the first user inputs 'KOSPI Exponential Forecast' as a search term, the interest setting unit 320 determines that the interest of the first user is a KOSPI index, Can be set as the interest of the first user.

In an alternative embodiment, the interest setting unit 320 may obtain a user's search pattern and set the interest keyword based on the search pattern. More specifically, according to one embodiment of the present invention, the interest setting unit 320 extracts a common word of two or more input queries existing in the web browsing history based on the web browsing history of the first user, Keyword, or if the input frequency of a specific keyword among the two or more input keywords is equal to or greater than a predetermined value, the specific keyword may be set as a keyword of interest. According to another embodiment, the interest setting unit 320 may determine the specific search term as an interest keyword when a specific search term exists in the recent search term list. For example, if the first user searches the 'KOSPI index' more than once a day, the interest setting unit 320 may set the search term as an interest keyword. Alternatively, for example, when the first user searches for 'Stock view', if the user has input the search word within one week when referring to the search word input history of the last two weeks, And the 'stock view' can be determined as the interest keyword of the first user.

In an alternative embodiment, the interest setting unit 320 may determine whether the search term input by the first user is a search term for obtaining single-shot information, and may not set the search term as a concern of the first user. For example, in the case of a search term for which information can be easily provided by search, such as when the search term is a "Route 2 Line", and the search term need not be additionally recommended by the acquaintances, The search term may not be set as a concern of the first user.

Next, the matching determination unit 330 acquires the web browsing signal of the user, analyzes the obtained web browsing signal, and determines whether the user is interested in the web browser or not. In more detail, the matching determining unit 330 analyzes a web browsing signal of a second user who is an acquaintance with the first user to determine whether the web browsing content matches the interests of the first user (S3). That is, the matching determination unit 330 determines whether the first user is interested in the content that the second user currently browsing the web is interested in.

According to the present invention, since the second user can inquire whether or not the content is recommended by monitoring the content being browsed in real time, it is possible to eliminate the process of selecting the recommended content separately, . Also, since only the second user having a connection relationship with the first user can be a content recommender, it is possible to increase the suitability of the recommended content by recommending content of the second user who knows the circumstances of the first user.

For this, the matching determination unit 330 may set a criterion for determining whether the second user matches the content of the first user with the content that is being browsed by the user.

In an alternative embodiment, the matching determination unit 330 may determine whether the content included in the content being browsed by the second user corresponds to the interest of the first user, have. More specifically, if one of the tags included in the content matches one of the first user's interest keywords, the matching determining unit 330 can determine that the corresponding content matches the interest of the first user.

In an alternative embodiment, the matching determination unit 330 extracts the text included in the content being browsed by the second user, and if the word whose appearance frequency is higher than a certain reference is one of the interest keywords of the first user, And the interests of the first user are matched. Alternatively, if the second user extracts the text included in the content being browsed by the second user and there are a certain number or more of words matching the interest keywords of the first user in the extracted text, And the interests of the first user are matched.

In an alternative embodiment, the matching determination unit 330 extracts media content, such as images, music, or moving images, included in the content that the second user is browsing, to determine whether the media content is of interest to the first user, It is possible to determine whether or not to match based on whether or not it corresponds to a moving picture.

In an alternative embodiment, the matching determination unit 330 may adjust a criterion for determining whether the content matches the interests of the first user based on the popularity of the content being browsed by the second user. In more detail, the matching determination unit 330 determines a matching criterion in consideration of a case where the number of hits of the content being browsed through the web is equal to or greater than a predetermined value, or when the content is cited more than a certain number of times to another user, Can be adjusted. For example, the matching determination unit 330 determines that the content created by the general blogger is matched if the interest keyword of the first user is included four or more times, and the content created by the popular blogger includes the interest keyword of the first user It can be judged that they are matched even if they are included one or more times. Thus, according to an embodiment of the present invention, the probability that a content having high popularity is recommended to a first user can be higher.

In an alternative embodiment, the matching determination unit 330 may adjust a criterion for determining whether the content matches the interests of the first user based on whether the connection relationship between the first user and the second user is one-way or two-way . More specifically, when only the first user adds the second user, only the second user adds the first user, and when both the first user and the second user In the case where the acquaintance is added, the matching criterion can be set differently. For example, if only the first user, who is the target person, adds the second user, the matching determination unit 330 can set the matching determination criterion to be less strict than when the two users are added. In addition, when only the second user, who is a recommender, adds the first user, the matching determination unit 330 can strictly apply the matching criterion rather than the case in which the two users add the first user. Accordingly, the matching determination unit 330 can determine the recommendable content in consideration of the connection relation characteristics between users.

In an alternative embodiment, the matching determination unit 330 may adjust a criterion for determining whether the content matches the interests of the first user, based on the attributes of the connection relationship between the first user and the second user. In more detail, when the category of the second user is present, it can be determined that the first user's interest related to the category exists only in the content. For example, the related service provided by the server 150 according to an exemplary embodiment of the present invention may include adding users to a plurality of categories so that the first user can recognize the second user as' It is possible to determine that the content matches the interest of the first user only when the second user has interests of the first user related to the fashion in the content being browsed by the second user.

Next, in the matching determination step S3, the recommendation decision unit 340 inquires of the second user whether or not the content is recommended by the second user when it is determined that the interest of the first user is matched (S4). The recommendation decision unit 340 may generate a query pop-up in a web browser window in which the second user is browsing the web and ask the second user whether to recommend the displayed content to the first user have. Next, the recommendation decision unit 340 determines whether the response of the query provided to the second user is consent, that is, whether the second user agrees with the recommendation of the content being browsed by the user (S5).

Next, the recommended content providing unit 350 provides the recommended content of the second user to the first user when the second user agrees to recommend the content (S6). At this time, the recommended content providing unit 350 may provide a list of recommended contents of a plurality of users who are related to the first user. Also, the recommended content providing unit 350 may display the recommended content of the second user on the timeline of the web page having the high frequency of the first user, for example, the SNS of the first user.

In an alternative embodiment, the recommended content providing unit 350 may receive the filtering criteria from the first user and provide only the recommended content satisfying the filtering criteria to the first user as the recommended content of the second user. In more detail, the recommended content provisioning unit 350 may allow the first user to set one or more of the recommender, interest category, and interest items as filtering criteria for receiving the recommended content. For example, when the first user sets a filtering criterion that he / she wants to receive only the recommended content of the second user among the users who have a plurality of the acquaintances, the recommended content provider 350 selects only the content recommended by the second user And can be provided as recommended contents.

Benefit provider 360 may then obtain an evaluation of the first user for the recommended content of the second user and provide benefits to the second user based on the evaluation. At this time, the benefit providing unit may inquire of the first user about the degree of recommendability of the recommended content in order to obtain the first user's evaluation of the recommended content. In addition, when the first user is satisfied with the recommended content of the second user and inputs the evaluation score of the reference value or more, the benefit providing unit 360 may provide benefits to the second user. At this time, the benefit provided to the second user does not depend on the form of charge / free of charge, and in one embodiment may be a coupon, cyber money, or point paid to the account of the second user. That is, according to the present invention, when the first user provides positive feedback to the recommended content, the second user can be provided with the incentive to recommend the content to the first user.

On the other hand, based on the evaluation of the first user for the recommended content acquired by the benefit providing unit 360, the matching determination unit 330 can adjust the criteria for determining whether the recommended content matches the interest of the first user. For example, if the score of the first user with respect to the recommended content is less than or equal to the reference value, it may be determined that the recommendation of the content is inappropriate, so that the previously set matching criterion can be adjusted more strictly. That is, according to the present invention, it is possible to provide more sophisticated recommendation contents by adjusting the matching determination criteria between the content and the interest of the first user based on feedback of whether or not the first user as the nominee is suitable for the recommended content.

Hereinafter, the present invention will be described with reference to the drawings based on more specific embodiments.

5 is a diagram for explaining setting of interest according to an embodiment of the present invention.

Referring to FIG. 5, a first user accesses a web service (e.g., 'search.com' in FIG. 5) that provides a search function in a web browser using the first user terminal 111, As shown in FIG. According to one embodiment of the present invention, the processor 252 may obtain the first user's search term and register the acquired search term in the interest list 500 corresponding to the first user. In addition, the processor 252 may determine a category of interest as a keyword of interest based on the web browsing history of the first user, or may extract some words of the input query to determine the interest keyword.

For example, in the embodiment of FIG. 5 (a), the processor 252 may detect that the user has entered a blouse in the search box and return the search term blouse 501 to the first user's interest list (500).

In another embodiment, in the embodiment of FIG. 5 (b), the processor 252 may determine, based on the web browsing history of the first user, that the user's search history of the user is' short sleeve blouse, summer Blouse '501, which is a keyword commonly appearing more than once in recent search terms, can be extracted and registered in the interest list 500 of the first user in the case of' blouse, today's weather, 20's female shopping mall, have. In addition, the processor 252 may register 'fashion' 502, which is an upper category of 'short-sleeved blouse' and 'summer blouse', in the interest list 500 of the first user. In addition, the processor 252 may extract the 'shopping mall' 503, which is a word of '20s female shopping mall', and register it in the interest list 500 of the first user.

On the other hand, in the case where the search term is a search term for obtaining one-shot information as shown in (b) of FIG. 5 and the search term is difficult to be regarded as reflecting the user's interest, The search word may not be registered in the interest list 500. [

FIG. 6 is a diagram for explaining whether or not matching is performed according to an embodiment of the present invention.

Referring to FIG. 6A, a screen of the second user terminal 121 is illustrated when the second user is browsing the web using the second user terminal 121. The processor 252 obtains the web browsing signal of the second user from the second user terminal 121 to determine whether there is an item matching the web browsing content and the interest list 500 of the first user. In the embodiment of FIG. 6 (a), since the content being browsed by the second user is 'A brand blouse review', the content may correspond to the blouse 501 of the interest list 500 of the first user . That is, the processor 252 determines that the content being browsed by the second user is matched with the interest of the first user.

Referring to FIG. 6B, when it is determined that the content matches the interest of the first user, the processor 252 transmits a query command signal To the second user terminal. 6B, the processor 252 informs the second user terminal 121 of a pop-up window labeled "Would you like to recommend the content you are viewing to the first user?" To the second user terminal 121. In this case, The controller 121 can transmit a signal to display.

When the second user selects " Yes " in the above-described pop-up window query, that is, when the second user agrees to recommend the content to the first user, the processor 252, The content information 601 can be registered in the reception recommendation list 600 of the user. As illustrated in FIG. 6, the recommender, the matched interest, the content information, and the like may be included in the reception recommendation list 600 of the first user. The recommendation contents list 603 of the first user can be registered together with the recommendation contents information 602 of the third user in addition to the recommended contents information 601 of the second user.

7 is a diagram for explaining providing recommendation contents according to an embodiment of the present invention.

FIG. 7 illustrates a screen of a first user terminal 111 in which a recommended content list 700 received from a first user is displayed according to an embodiment of the present invention. It goes without saying that this is merely an example of a screen for providing a recommended content to a first user, but may be modified in any way that the layout, format, and contents of the screen do not contradict the features of the present invention. 7, the URL 731, recommender information 732, and content summary information 733 of the received recommended contents may be displayed in the recommended contents lists 730, 740 and 750 received from the acquaintances shown in FIG. The recommended content list 700 received from the acquaintances as shown in FIG. 7 may be automatically provided to the first user when there is a request from the first user or to a page frequently visited by the first user.

Further, according to the embodiment shown in FIG. 7, the first user may use the filtering item 710 to filter the list of the received recommendation content 700 to be displayed. For example, the first user may set the filtering item 710 to 'recommender', and then select the setting button 720 to display only the content recommended by the second user. The filtering criterion can be variously determined according to the selection of the first user among the recommender, the interest category, and the interest item.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA) , A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may perform one or more software applications performed on an operating system (OS) and an operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer readable medium may include program instructions, data files, data structures, and the like, alone or in combination. Program instructions to be recorded on the medium may be those specially designed and constructed for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (17)

Setting an interest of the first user based on the input of the first user;
A matching determination step of analyzing a web browsing signal of a second user having a connection relationship with the first user to determine whether the web browsing content matches the interest of the first user;
Determining whether to recommend the content to the second user when it is determined that the content matches the interest of the first user; And
Providing recommendable content to the first user as recommended content if the second user agrees to recommend the content to the first user;
The method comprising the steps of: The method according to claim 1,
The matching determination step may include:
And determining whether the content matches the interest of the first user based on whether the tag included in the content being browsed by the second user corresponds to the interest of the first user. The method according to claim 1,
The matching determination step may include:
And adjusts a criterion for determining whether the content matches the interest of the first user based on at least one of the number of hits, the number of citations, or the creator of the content being browsed by the second user. The method according to claim 1,
The matching determination step may include:
And adjusting a criterion for determining whether the content matches the interests of the first user based on whether the connection relationship between the first user and the second user is one-way or two-way. The method according to claim 1,
The interest setting step comprises:
Setting a concern on the basis of the web browsing history of the first user and setting the entered search term as an interest keyword when there is a search word input operation in the web browsing history of the first user. 6. The method of claim 5,
The interest setting step comprises:
Extracting a common word from among two or more inputted search terms existing in the web browsing history and setting the extracted keyword as a keyword of interest based on the web browsing history of the first user, And setting the specific search term as a keyword of interest when the predetermined keyword is not less than a predetermined value. The method according to claim 1,
The interest setting step comprises:
Acquiring a search term input by the first user and setting an upper category of the input search term as a keyword of interest. The method according to claim 1,
In the recommendation content providing step,
Receiving a filtering criterion from the first user and providing only the content satisfying the filtering criterion to the first user as the recommended content. The method according to claim 1,
Further comprising obtaining an evaluation of the first user for the recommendation content of the second user and providing benefits to the second user based on the evaluation. 10. The method of claim 9,
Wherein the matching determination step adjusts a criterion for determining whether the recommended content matches the interest of the first user based on the evaluation of the first user for the recommended content. A computer program stored in a computer-readable recording medium for executing the method for providing recommended contents as claimed in any one of claims 1 to 10. A computer-implemented server recommended content providing system,
A memory for storing instructions readable by a computer; And
At least one processor < RTI ID = 0.0 >
Lt; / RTI >
Wherein the at least one processor comprises:
An interest setting unit that sets a first user's interest based on an input of the first user;
A matching determining unit for analyzing a web browsing signal of a second user having a connection relationship with the first user to determine whether the content being browsed by the web and the interest of the first user are matched;
A recommendation decision unit for inquiring of the second user whether or not the content is recommended if the content and the interest of the first user are matched;
A recommended content providing unit for providing the first user with the content as a recommended content when the second user agrees to recommend the content to the first user;
The recommendation contents providing system comprising: 13. The method of claim 12,
The matching determination unit may determine,
And determines whether the content matches the interest of the first user based on whether the tag included in the content being browsed by the second user corresponds to the interest of the first user. 13. The method of claim 12,
The matching determination unit may determine,
And adjusts a criterion for determining whether the content matches the interest of the first user based on at least one of a number of views, a number of citations, or an author of the content being browsed by the second user. 13. The method of claim 12,
The interest setting unit,
Sets a concern based on a web browsing history of the first user and sets the entered query as an interest keyword when there is a query input operation in the web browsing history of the first user. 13. The method of claim 12,
The recommendation contents providing unit,
Receives a filtering criterion from the first user and provides only the content satisfying the filtering criterion to the first user as the recommended content. 13. The method of claim 12,
Further comprising a benefit providing unit for acquiring an evaluation of the first user for the recommended content of the second user and providing benefits to the second user based on the evaluation.

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