CN112818250B

CN112818250B - A content recommendation method, device, electronic device and system

Info

Publication number: CN112818250B
Application number: CN202110328539.XA
Authority: CN
Inventors: 周志超; 熊军; 周峰; 蒋建; 黄国进; 郑岩; 冯健
Original assignee: Advanced New Technologies Co Ltd
Current assignee: Advanced New Technologies Co Ltd
Priority date: 2018-03-07
Filing date: 2018-03-07
Publication date: 2024-03-08
Anticipated expiration: 2038-03-07
Also published as: CN112818250A; CN108563681B; US12159305B2; CN108563681A; US20210082026A1; TW201939395A; WO2019169963A1

Abstract

The embodiment of the specification relates to a content recommendation method, a device, an electronic device and a system, comprising: searching the content matched with the label from a content database by the recommendation system according to the determined label; the recommendation system recommends the searched content to the user corresponding to the tag; the content in the content database is determined according to the first type of content matched by the internal operation system and the second type of content matched by the external operation system.

Description

Content recommendation method, device, electronic equipment and system

This document is a divisional application of patent application with application number "201810185112.7", application date "2018, 03, 07, and application name" a content recommendation method, apparatus, electronic device, and system ".

Technical Field

The embodiment of the specification relates to the technical field of networks, in particular to a content recommendation method, a content recommendation device, electronic equipment and a content recommendation system.

Background

With the rapid development of electronic commerce, content recommendation of important information (e.g., merchandise information, coupon information, discount information, etc.) in electronic commerce has become an operational key.

In the operation and maintenance of the current e-commerce, the operation platform mainly executes recommendation work. The operation platform sets the internal operation configuration on one hand and receives the external operation configuration determined by the merchant on the other hand; the operation platform integrates the internal operation configuration and the external operation configuration into operation configuration information, and the operation configuration information is delivered to an internal operation system for content matching, and the internal operation system sends the matched content to a recommendation system; when a user accesses, the recommendation system matches appropriate content recommendations from the recommendation system to the user according to a tag determined by the user account number or the like.

Thus, the external operation configuration of the merchant decision needs to be processed by the operation platform and the content is matched through the internal operation system, so that the external operation of the merchant has limitation.

Disclosure of Invention

The embodiment of the specification provides a content recommendation method, device, electronic equipment and system, which are used for solving the problem that the external operation of a merchant is limited in the prior art.

In order to solve the above technical problems, the embodiment of the present specification adopts the following technical solutions:

in a first aspect, a content recommendation method is provided, including:

searching the content matched with the label from a content database by the recommendation system according to the determined label;

The recommendation system recommends the searched content to the user corresponding to the tag;

the content in the content database is determined according to the first type of content matched by the internal operation system and the second type of content matched by the external operation system.

In a second aspect, there is provided a content recommendation apparatus including:

the searching module searches the content matched with the label from the content database according to the determined label;

the recommending module recommends the searched content to a user corresponding to the tag;

In a third aspect, there is provided a content recommendation apparatus including:

the matching module is used for matching the second type of content according to the external operation configuration information uploaded by the merchant;

the sending module is used for sending the information to the recommendation system;

the second type of content is used for determining content in a content database of the recommendation system with the first type of content matched with the internal operation system.

In a fourth aspect, there is provided a content recommendation system including:

the recommendation system searches the content matched with the label from the content database according to the determined label; recommending the searched content to a user corresponding to the tag;

The internal operation system matches the first type of content;

the external operation system matches the second type of content;

In a fifth aspect, there is provided an electronic device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being executed by the processor:

searching the content matched with the label from a content database according to the determined label;

recommending the searched content to a user corresponding to the tag;

In a sixth aspect, there is provided an electronic device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being executed by the processor:

matching the second type of content according to the external operation configuration information uploaded by the merchant;

Transmitting the second type of content to a recommendation system;

In a seventh aspect, there is provided a computer-readable storage medium storing one or more programs, which when executed by a server comprising a plurality of application programs, cause the server to:

recommending the searched content to a user corresponding to the tag;

In an eighth aspect, there is provided a computer-readable storage medium storing one or more programs, which when executed by a server including a plurality of application programs, cause the server to:

Transmitting the second type of content to a recommendation system;

The above-mentioned at least one technical scheme that this description embodiment adopted can reach following beneficial effect:

according to the technical scheme, the recommendation system searches the content matched with the determined label from the content database and recommends the content to the corresponding user, and the content is determined according to the first type of content matched by the internal operation system and the second type of content matched by the external operation system, so that the external operation system and the internal operation system can be simultaneously configured in the content recommendation system, parallel processing of external operation and internal operation is ensured, and the competition mechanism can improve conversion rate. And the external operation system and the internal operation system can share the recommendation system, so that the integrity of the content in the recommendation system and the association with the external operation and the internal operation are ensured. Therefore, the operation and maintenance efficiency and the resource utilization rate of the content recommendation system are improved as a whole.

Drawings

In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some of the embodiments described in the embodiments of the present description, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.

FIG. 1 is a schematic diagram of a system architecture of a content recommendation scheme according to an embodiment of the present disclosure;

FIG. 2 is a schematic diagram illustrating steps of a content recommendation method according to an embodiment of the present disclosure;

FIG. 3a is a second step diagram of a content recommendation method according to the embodiment of the present disclosure;

FIG. 3b is a third step of the content recommendation method according to the embodiment of the present disclosure;

FIG. 4a is a schematic diagram showing a specific implementation of step 222 of the content recommendation method according to the embodiment of the present disclosure;

FIG. 4b is a second embodiment of a method for recommending content according to the present invention;

FIG. 5 is a fourth step diagram of a content recommendation method according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;

fig. 7a is a schematic structural diagram of a content recommendation device according to an embodiment of the present disclosure;

fig. 7b is a second schematic structural diagram of the content recommendation device according to the embodiment of the present disclosure.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present specification more apparent, the technical solutions of the embodiments of the present specification will be clearly and completely described below in connection with the specific embodiments of the present specification and the corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present specification. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the embodiments herein, are intended to be within the scope of the embodiments herein.

The following describes in detail the technical solutions provided by the embodiments of the present specification with reference to the accompanying drawings.

Example 1

First, a system architecture to which the content recommendation scheme in the embodiment of the present disclosure is applied is described, and referring to fig. 1, the content recommendation scheme application scenario is as follows: the system architecture formed by the operation platform and the merchant mainly comprises: a recommendation system 102, an internal operating system 104 and an external operating system 106. The external operating system 106 may perform operations of matching the operating content and uploading the content to the recommendation system 102 in parallel with the internal operating system 104. Thus, the external operation and the internal operation are independent from each other in operation management, but the recommendation system 102 can be shared.

The recommendation system 102 may be a server on the side of an operation platform, and is used for summarizing the content to be recommended and searching for recommendation. Meanwhile, at least one content database for storing the content received by the recommendation system 102 is provided in the recommendation system 102.

The internal operation system 104 is also a server on the side of the operation platform, and is configured to match the first type of content according to operation configuration information set by a manager of the operation platform. The internal operation system 104 may specifically include: the system comprises a content management module 1041, an active operation module 1042, a verification management module 1043, a distribution management module 1044 and a manual order management module 1045; in addition, other modules for assisting the operation platform to execute management work can be included. Wherein:

The content management module 1041 is mainly used for managing content related to the goods that the merchant may popularize, such as the details of the goods, the specifications of the goods, the model show, and the like. At the same time, it can also be responsible for managing commodity types, such as clothing, shoes, luggage, underwear accessories, etc. The internal operation system may match the recommended content from the content management module 1041 according to the received operation configuration information.

The campaign operator module 1042 is mainly used to manage the offers that the operator platform may promote, such as coupons, discount coupons, consumer coupons, or other point campaigns.

The verification management module 1043 is mainly used for verification management of preferential activities promoted by the activity operation module 1042.

The split management module 1044 is mainly used for traffic distribution management of content, for example, if the content of clothing has more access, more access traffic is distributed to the content of clothing.

The manual order management module 1045 is mainly used for recommending and managing the first type of content matched with the internal operation system and the second type of content matched with the external operation system, for example, various content recommendation strategies are managed.

The external operating system 106 may be a merchant-side server for matching the second type of content according to operating configuration information set by one or more merchants. The external operation system 106 may specifically include: a content management module 1061, an active operation module 1062, and a verification management module 1063; the external operating system 13 may also include other modules that assist merchants and operating platforms in performing administrative tasks.

It should be noted that the functions of each of the content management module 1061, the active operation module 1062, the accounting management module 1063, and the like included in the external operation system 106 may be similar to the substantial functions of the corresponding modules included in the internal operation system 104. For example, the content management module 1041 and the content management module 1061 are used for managing commodity content, such as: the commodity details of the commodity A, the specification parameters of the commodity B and the like are similar contents related to the commodity.

It should be appreciated that in this description embodiment, the external operating system is configured with one or more data interfaces that may be used to receive external configuration information uploaded by external merchants. These data interfaces may or may not be differentiated according to merchant identification, which is not limited in this specification.

Example two

The content recommendation scheme will be described in detail by the second embodiment.

Referring to fig. 2, a schematic step diagram of a content recommendation method according to an embodiment of the present disclosure is shown, where an execution body of the content recommendation method includes at least a recommendation system; the method mainly comprises the following steps:

step 202: and searching the content matched with the label from the content database by the recommendation system according to the determined label.

In the embodiment of the present disclosure, the determined tag is determined according to user identification analysis when the user logs in or accesses to the website operated by the operation platform. The user identification can comprise a user account number, a mobile phone number and the like; the specific format of the user identification may be a character string combined by any means of numerals, letters, underlining, and the like. The number of the determined tags may be one or more, which is not limited in the embodiment of the present specification. The tag may specifically be a keyword related to commodity recommendation, for example, may be a gender, identity, occupation, location, etc. of the user, for example, a tag may be: one or a combination of females, students, hong Kong.

One or more corresponding relations are stored in the content database, and each corresponding relation in the one or more corresponding relations is a corresponding relation between the content and the tag; specifically, one content may correspond to one tag, or one content may correspond to a plurality of tags, or a plurality of contents may correspond to one tag, or a plurality of contents may correspond to a plurality of tags.

It should be understood that in the embodiment of the present specification, the content in the content database is not only matched by the internal operation system, but is determined by the first type of content matched by the internal operation system and the second type of content matched by the external operation system. Thus, the content in the content database is associated with both the internal and external operating systems. Wherein, the content in the content database can be commodity information, coupon information, discount activity information and the like.

Step 204: and the recommendation system recommends the searched content to the user corresponding to the tag.

In the embodiment of the present disclosure, after the recommendation system searches the content matched with the tag, the recommendation system recommends the content to the user corresponding to the tag, so as to implement content promotion on the commodity or information related to the commodity.

It should be understood that the content database in the recommendation system may be preset, and referring to fig. 3a, the following operations may be specifically performed in advance before step 202:

step 206: and the external operation system matches the second type of content according to the external operation configuration information uploaded by the merchant and sends the second type of content to the recommendation system.

The external operation system is a newly added system, and is used by merchants through developing corresponding service interfaces. In particular implementations, web page presentations may be serviced. And the merchant determines external operation configuration information conforming to the operation mode of the merchant according to analysis of historical data such as user historical behaviors, transaction records and the like. The analysis may be performed manually or automatically, and is not limited in this specification.

It should be understood that the external operation configuration information referred to herein may be various types of tags obtained by analysis based on historical data, such as females, students, weather; these tags are associated with the goods. Alternatively, the external operation configuration information may be a commodity operation scheme analyzed from the history data, for example, for a college student who has an access demand in a rainy day or a cloudy day.

Then, the external operation system matches the second type of content according to the external operation configuration information uploaded by the merchant, and one implementation scheme is as follows: and matching corresponding commodity contents from the content management module and corresponding activity contents from the activity operation module according to the labels uploaded by the merchants. For example, when the tag is: women, students, weather; then, cartoon patterns or other lovely umbrellas, raincoats and rain boots can be matched from the popularization content; and matching a coupon or coupon associated with such a tag or with the matched merchandise content from the promotional campaign; and recommended to the recommendation system as the second type of content. Another solution that can be achieved is: and according to the operation scheme uploaded by the merchant, matching corresponding commodity contents from the content management module and matching corresponding activity contents from the activity operation module. When the commodity operation scheme is as follows: aiming at the college students with access requirements in rainy days or overcast days; then, keywords can be extracted from the operation scheme: women, students and weather, and matching corresponding commodity contents from the popularization contents according to the processing mode of the labels; and matching the related preferential activities or coupons from the promotion activities; and recommended to the recommendation system as the second type of content.

Step 208: and the internal operation system matches the first type of content according to the internal operation configuration information uploaded by the operation platform and sends the first type of content to the recommendation system.

It should be understood that the internal operating system may include all functions that the external operating system has, and further, as an internal server of the operating platform, some functions that the external operating system does not have. For example, the internal operation system can also match the traffic occupation proportion of various contents according to the diversion strategy in the operation configuration information set by the management personnel in the operation platform, so that the traffic occupation proportion can be conveniently and reasonably fed back to the recommendation system for reasonable recommendation, and resources can be reasonably regulated and controlled.

It should be noted that, in the embodiment of the present disclosure, the order of the step 206 of uploading the second type of content by the external operation system and the step 208 of uploading the first type of content by the internal operation system may not be limited, and may be executed according to the step sequence shown in fig. 3 a; step 208 may be performed before step 206 is performed; alternatively, step 208 and step 206 are performed simultaneously. The order of execution of steps 206 and 208 as indicated herein does not affect the core solution of parallel processing by the external and internal operating systems in the embodiments of the present description.

In addition, in the embodiment of the present disclosure, a manual order management module is further provided in the internal operation system, and accordingly, before step 202, before referring to fig. 3b, the method further includes:

step 220: and the internal operation system matches the content recommendation strategy according to the internal operation configuration information uploaded by the operation platform and sends the content recommendation strategy to the recommendation system.

The internal operation system can also be matched with an internal recommendation strategy according to the internal operation configuration information and send the internal recommendation strategy to the recommendation system so that the recommendation system can conveniently decide a recommendation mode or recommendation sequence.

Step 222: and the recommendation system processes the received first-type content and the received second-type content according to the content recommendation strategy.

Here, steps 220-222 may be processed in parallel with steps 206, 208, or in a sequential order, which is not limited in this specification.

It should be understood that the content recommendation policy may include an operator of the operation platform or various recommendation policies set by an administrator, and specifically may include: fusion sub-policies, ordering sub-policies, etc. These two sub-policies are described below as examples.

(1) The content recommendation strategy comprises the following steps: and fusing the sub-policies.

The fusion sub-strategy can be a specific fusion mode, such as a machine prediction fusion model and a manually set fusion model; the manually set fusion model can be a fusion model calculated by related personnel of an operation platform according to historical data.

Step 222, when embodied, includes:

and the recommendation system fuses the received first-class content and the received second-class content according to a fusing sub-strategy, and stores the fused content in the content database. Specifically, the recommendation system presumes that the fusion sub-policy is a weight ratio, the weight of the first type of content is 0.2, and the weight of the second type of content is 0.8 according to the received fusion sub-policy, and then the fused content is 0.2×first type of content+0.8×second type of content.

It should be noted that the above-mentioned blending sub-strategy of weight ratio is only a simple example, and the actual blending model may set different complexity levels according to the number of contents and the number of merchants.

Optionally, in an embodiment of the present specification, the content recommendation policy further includes: sequencing sub-strategies; then, after the fusion operation is completed in step 222, it may further include:

And the recommendation system sorts the fused content stored in the content database according to the sorting sub-strategy.

(2) The content recommendation strategy comprises the following steps: the sub-policies are ordered.

The sorting sub-strategy may be a specific sorting manner, for example, sorting according to the size of the content, sorting according to the correlation degree between the content and the tag, sorting according to the aging of the content, etc.; the present embodiments do not limit the content of the sort sub-strategy.

Step 222, when embodied, includes:

and the recommendation system ranks the received first-class content and the received second-class content according to a ranking sub-policy. Specifically, the recommendation system, according to the received ranking sub-policy, presumes that the ranking sub-policy ranks according to the degree of correlation between the content and the tag, and then the recommendation system may rank all the received first-class content and all the received second-class content uniformly according to the degree of correlation between the content and the tag. The first type of content and the second type of content after the sorting can be recommended to the user according to the sequence, or fusion operation can be further executed, namely the recommendation system receives the sorting sub-strategy and also receives the fusion sub-strategy, and after the sorting is completed, the first type of content and the second type of content can be fused according to the fusion sub-strategy. And recommending the fused content.

It should be understood that, based on the above scheme, when the recommendation system processes the received first-class content and second-class content by adopting the content recommendation policy, and correspondingly, the recommendation system recommends the searched content to the user corresponding to the tag, the method may specifically be performed as follows:

and the recommendation system sequentially recommends the searched contents to the users corresponding to the labels according to the sorting order.

In the embodiment of the specification, by arranging the external operation system, merchants are endowed with the capability of sharing the recommendation system directly through the external operation system. The external operation system may then be implemented in particular in at least the following ways when the second type of content is matched according to the external operation configuration information uploaded by the merchant.

Referring to fig. 4a, when the external operation system matches the second type of content, the method specifically includes the following steps:

step 302a: the external operation system receives external operation configuration information uploaded by at least one merchant.

Step 304a: and the external operation system performs statistics integration on the external operation configuration information uploaded by the at least one merchant to obtain merchant common operation configuration information.

The related statistical integration mode can be flexibly designed according to the operation condition, and the specification is not limited to the above.

Step 306a: and the external operation system matches the second type of content according to the merchant common operation configuration information.

Referring to fig. 4b, when the external operation system matches the second type of content, the method specifically includes the following steps:

step 302b: the external operation system receives external operation configuration information uploaded by at least one merchant.

Step 304b: and the external operation system matches the second sub-content according to the external operation configuration information uploaded by each merchant in the at least one merchant.

Step 306b: and the external operation system matches the external operation configuration information uploaded by the at least one merchant with the second-class sub-content to integrate the second-class sub-content, so as to obtain the second-class content.

It should be understood that, referring to fig. 5, after the recommendation system recommends the searched content to the user corresponding to the tag, the method further includes:

step 224: the recommendation system monitors access conditions of users to recommended content.

The recommender system may monitor the user's access to the content recommended by the recommender system, such as browsing time, number of browses, whether to purchase recommended merchandise, whether to use recommended coupons, etc.

Step 226: the recommendation system feeds back the access condition to the internal operation system and the external operation system.

Accordingly, in order to facilitate resource allocation of the internal operation system and the external operation system, the recommendation system feeds back the access condition to the internal operation system and the external operation system, so that the internal operation system can adjust the internal operation configuration in time according to the access condition to meet the requirements of users, and the external operation system can adjust the external operation configuration in time according to the access condition to meet the requirements of the users, thereby improving the content recommendation efficiency.

The recommendation system also feeds back the use condition of the coupons and the like to the verification management module so as to update the validity of the coupons or push out new coupons.

It should be understood that, in the embodiment of the present disclosure, the content in the content database of the recommendation system may be updated periodically, and the update scheme is similar to the pre-configuration scheme, which is not described herein.

Example III

Referring to fig. 1, a schematic structural diagram of a content recommendation system according to an embodiment of the present disclosure is shown, where the apparatus mainly includes: recommendation system 102, internal operating system 104, and external operating system 106; wherein,

the recommendation system 102 searches the content matching with the label from the content database according to the determined label; recommending the searched content to a user corresponding to the tag;

The internal operation system 104 matches out the first type of content;

the external operation system 106 matches out the second class of content;

In the embodiment of the specification, the recommendation system searches the content matched with the determined label from the content database and recommends the content to the corresponding user, and the content is determined according to the first type of content matched by the internal operation system and the second type of content matched by the external operation system, so that the external operation system and the internal operation system can be simultaneously configured in the content recommendation system, parallel processing of the external operation and the internal operation is ensured, and the competition mechanism can improve the conversion rate. And the external operation system and the internal operation system can share the recommendation system, so that the integrity of the content in the recommendation system and the association with the external operation and the internal operation are ensured. Therefore, the operation and maintenance efficiency and the resource utilization rate of the content recommendation system are improved as a whole.

The server (wherein the server may be referred to as an electronic device) of the embodiments of the present description will be described in detail below with reference to fig. 6. Referring to fig. 6, at the hardware level, the electronic device includes a processor, and optionally an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a Non-Volatile Memory (Non-Volatile Memory), such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.

The processor, network interface, and memory may be interconnected by an internal bus, which may be an industry standard architecture (Industry Standard Architecture, ISA) bus, a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 6, but not only one bus or type of bus.

And the memory is used for storing programs. In particular, the program may include program code including computer-operating instructions. The memory may include memory and non-volatile storage and provide instructions and data to the processor.

The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the content recommendation device on a logic level. And the processor is used for executing the program stored in the memory and particularly used for executing the method operation executed when the server is taken as an execution main body.

The methods disclosed in the embodiments shown in fig. 2-5 of the embodiments of the present disclosure may be applied to, or implemented by, a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of this specification may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present specification may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.

The electronic device may further execute the methods of fig. 2 to 5 and implement the functions of the content recommendation device in the embodiments shown in fig. 2 to 5, which are not described herein.

Of course, in addition to the software implementation, the electronic device of the embodiments of the present disclosure does not exclude other implementations, such as a logic device or a combination of software and hardware, that is, the execution subject of the following processing flow is not limited to each logic unit, but may also be hardware or a logic device.

Example IV

The present specification embodiment also provides a computer-readable storage medium storing one or more programs that, when executed by a server including a plurality of application programs, cause the server to:

recommending the searched content to a user corresponding to the tag;

transmitting the second type of content to a recommendation system;

Wherein the computer readable storage medium is selected from Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.

Example five

Referring to fig. 7a, a schematic structural diagram of a content recommendation device according to an embodiment of the present disclosure is provided, where the device mainly includes:

the searching module 402a searches the content matched with the label from the content database according to the determined label;

a recommending module 404a, which recommends the searched content to the user corresponding to the tag;

Referring to fig. 7b, a schematic structural diagram of a content recommendation device according to an embodiment of the present disclosure is provided, where the device mainly includes:

the matching module 402b matches the second type of content according to the external operation configuration information uploaded by the merchant;

A transmitting module 404b for transmitting to the recommendation system;

In summary, the foregoing description is only a preferred embodiment of the present invention and is not intended to limit the scope of the embodiments of the present invention. Any modification, equivalent replacement, improvement, or the like made within the spirit and principles of the embodiments of the present specification should be included in the protection scope of the embodiments of the present specification.

The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.

Claims

1. A content recommendation method, comprising:

searching content matched with the label from a content database according to the determined label of the user by the recommendation system, wherein the label comprises keywords for describing the characteristics of the user;

the content in the content database is determined according to the first type of content matched by the internal operation system and the second type of content matched by the external operation system; the internal operation system and the external operation system run in parallel and share a recommendation system;

further comprises:

the internal operation system matches the first type of content according to the internal operation configuration information set by the management personnel of the operation platform and sends the first type of content to the recommendation system;

and the external operation system matches the second type of content according to the external operation configuration information uploaded by the merchant and sends the second type of content to the recommendation system.

2. The method of claim 1, wherein the external operation configuration information includes a tag or a commodity operation scheme related to the commodity, and the external operation system matches the second type of content according to the external operation configuration information uploaded by the merchant, including:

and the external operation system matches corresponding commodity content and activity content according to the label or the operation scheme, and takes the matched commodity content and activity content as second-class content.

3. The method of claim 1, further comprising:

The internal operation system matches a content recommendation strategy according to the internal operation configuration information uploaded by the operation platform and sends the content recommendation strategy to the recommendation system;

and the recommendation system processes the received first-type content and the received second-type content according to the content recommendation strategy.

4. The method of claim 3, the content recommendation policy comprising: fusing sub-policies;

the recommendation system processes the received first-type content and the second-type content according to the content recommendation strategy, and the recommendation system comprises the following steps:

and the recommendation system fuses the received first-class content and the received second-class content according to a fusing sub-strategy, and stores the fused content in the content database.

5. The method of claim 3, the content recommendation policy comprising: sequencing sub-strategies;

and the recommendation system ranks the received first-class content and the received second-class content according to the ranking sub-policy.

6. The method of claim 4, the content recommendation policy comprising: sequencing sub-strategies;

The method further comprises the steps of: and the recommendation system sorts the fused content stored in the content database according to the sorting sub-strategy.

7. The method of claim 6, wherein the recommending system recommends the searched content to the user corresponding to the tag, comprising:

8. The method of claim 1, the external operation system matching the second type of content according to external operation configuration information uploaded by the merchant, comprising:

the external operation system receives external operation configuration information uploaded by at least one merchant;

the external operation system performs statistics integration on the external operation configuration information uploaded by the at least one merchant to obtain merchant common operation configuration information;

and the external operation system matches the second type of content according to the merchant common operation configuration information.

9. The method of claim 1, the external operation system matching the second type of content according to external operation configuration information uploaded by the merchant, comprising:

The external operation system matches the second sub-content according to the external operation configuration information uploaded by each merchant in the at least one merchant;

and the external operation system matches the external operation configuration information uploaded by the at least one merchant with the second-class sub-content to integrate the second-class sub-content, so as to obtain the second-class content.

10. The method of claim 1, further comprising, after the recommendation system recommends the content found to the user to whom the tag corresponds:

the recommendation system monitors the access condition of a user to recommended content;

the recommendation system feeds back the access condition to the internal operation system and the external operation system.

11. A content recommendation device, comprising:

the searching module searches the content matched with the label from the content database according to the determined label of the user, wherein the label comprises keywords for describing the characteristics of the user;

the content in the content database is determined according to the first type of content matched by the internal operation system and the second type of content matched by the external operation system; the second type of content is matched by the external operation system according to external operation configuration information uploaded by a merchant, and the first type of content is matched by the internal operation system according to internal operation configuration information set by a manager of an operation platform; and the internal operation system and the external operation system run in parallel and share a recommendation system.

12. A content recommendation device, comprising:

the sending module is used for sending the second type of content to a recommendation system;

the second type of content is used for determining content in a content database of a recommendation system with first type of content matched with the internal operation configuration information set by an administrator of an operation platform according to the internal operation configuration information, the recommendation system recommends the content in the content database to a user according to a determined label of the user, and the label comprises keywords used for describing characteristics of the user.

13. A content recommendation system, comprising:

the recommendation system searches content matched with the label from a content database according to the determined label of the user, wherein the label comprises keywords for describing the characteristics of the user; recommending the searched content to a user corresponding to the tag;

the internal operation system matches the first type of content;

the external operation system matches the second type of content; the second type of content is matched by the external operation system according to external operation configuration information uploaded by a merchant;

The content in the content database is determined according to first-class content matched by an internal operation system according to internal operation configuration information set by a manager of an operation platform and second-class content matched by an external operation system; and the internal operation system and the external operation system run in parallel and share a recommendation system.

14. An electronic device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being executed by the processor:

searching content matched with the label from a content database according to the determined label of the user, wherein the label comprises keywords for describing the characteristics of the user;

recommending the searched content to a user corresponding to the tag;

15. An electronic device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being executed by the processor:

transmitting the second type of content to a recommendation system;

16. A computer-readable storage medium storing one or more programs, which when executed by a server comprising a plurality of application programs, cause the server to:

Recommending the searched content to a user corresponding to the tag;

17. A computer-readable storage medium storing one or more programs, which when executed by a server comprising a plurality of application programs, cause the server to:

transmitting the second type of content to a recommendation system;