WO2019169978A1

WO2019169978A1 - Resource recommendation method and device

Info

Publication number: WO2019169978A1
Application number: PCT/CN2019/073383
Authority: WO
Inventors: 周志超; 熊军; 周峰; 蒋建; 黄国进; 郑岩; 冯健
Original assignee: 阿里巴巴集团控股有限公司
Priority date: 2018-03-07
Filing date: 2019-01-28
Publication date: 2019-09-12
Also published as: CN108563680A; TW201939378A

Abstract

A resource recommendation method and device, the method comprising: if a preset resource recommendation condition is met, obtaining state information, user feature information, and population category information of a target user (102); determining, according to the state information, the user feature information, and the population category information, a resource to be recommended matching the target user (104); and recommending the resource to be recommended to the target user (106). Therefore, the method can recommend a corresponding resource to a user on the basis of state information, a user feature, and a population category of the user. Because the state information, the user feature information, and the population category of the user can reflect the interest and current demand of the user to a great extent, the method can implement the accurate recommendation of a resource, thereby improving the recommendation efficiency.

Description

Resource recommendation method and device

Cross-reference to related applications

The present application claims priority to Chinese Patent Application No. 20110118511, filed on Mar.

Technical field

The present application relates to the field of computer technologies, and in particular, to a resource recommendation method and apparatus.

Background technique

With the rapid development of Internet technologies, the types and functions of Internet-based network applications are becoming more and more abundant, and network applications can recommend some resources to users. For example, consumer applications can recommend coupons to users. With the continuous improvement of living standards, the needs of users have become more and more diversified. Therefore, it is necessary to propose a resource recommendation method with more accurate recommendations to meet the diversified needs of users.

Summary of the invention

The purpose of the embodiments of the present specification is to provide a resource recommendation method and apparatus, so as to achieve the purpose of recommending resources to users more accurately.

To achieve the above technical purpose, the embodiment of the present specification is implemented as follows:

In a first aspect, a resource recommendation method is provided, the method comprising:

Obtaining state information, user feature information, and associated category information of the target user when the preset resource recommendation condition is met;

Determining a to-be-recommended resource that matches the target user according to the state information, the user feature information, and the crowd category information;

Recommending the to-be-recommended resource to the target user.

In a second aspect, a resource recommendation device is provided, the device comprising:

An obtaining unit, configured to acquire status information, user feature information, and associated category information of the target user, when the preset resource recommendation condition is met;

a determining unit, configured to determine, according to the state information, the user feature information, and the crowd category information, a to-recommended resource that matches the target user;

a recommendation unit, configured to recommend the to-be-recommended resource to the target user.

In a third aspect, an electronic device is provided, comprising:

Processor;

A memory arranged to store computer executable instructions that, when executed, cause the processor to perform the following operations:

Recommending the to-be-recommended resource to the target user.

In a fourth aspect, a computer storage medium is provided, the computer readable storage medium storing one or more programs, the one or more programs causing the electronic when executed by an electronic device including a plurality of applications The device does the following:

Recommending the to-be-recommended resource to the target user.

It can be seen from the technical solutions provided in the foregoing embodiments of the present disclosure that, in the embodiments of the present disclosure, the corresponding resources may be recommended to the user based on the user's state information, the user features, and the category to which the user belongs; the user's state information and user feature information. The category of the user belongs to the user's interest and current needs. Therefore, the embodiments of the present specification can accurately recommend resources and improve recommendation efficiency.

DRAWINGS

In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings to be used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a few embodiments described in the present specification, and other drawings can be obtained from those skilled in the art without any inventive labor.

1 is a flow chart of a resource recommendation method of one embodiment of the present specification;

2 is a flow chart of a resource recommendation method of another embodiment of the present specification;

3 is an architectural diagram of a marketing system of one embodiment of the present specification;

4 is a schematic structural diagram of a resource recommending apparatus according to an embodiment of the present specification;

FIG. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present specification.

Detailed ways

In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the specification. The embodiments are only a part of the embodiments of the specification, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present specification without departing from the inventive scope should fall within the scope of the present disclosure.

The embodiment of the present specification provides a resource recommendation method and device.

The following is a description of a resource recommendation method provided by an embodiment of the present specification.

It should be noted that the method provided by the embodiment of the present disclosure is applicable to a server, and may be applied to a terminal device, such as a smart phone, a tablet computer, and the like in an actual application.

For the convenience of description, the technical solution of the embodiments of the present specification will be described below with the execution subject as a server.

1 is a flowchart of a resource recommendation method according to an embodiment of the present specification. As shown in FIG. 1, the method may include the following steps: step 102, step 104, and step 106, where

In step 102, when the preset resource recommendation condition is met, the state information of the target user, the user feature information, and the associated group category information are acquired.

In the embodiment of the present specification, the resource may include: a resource related to the network application, where the resource related to the network application may include: a ticket, a video, an audio, and the like, and the coupon may include: a consumption coupon, a discount coupon, and the like.

In the embodiment of the present specification, the server may actively recommend resources to the user, or may trigger the server to recommend resources to the user.

In the embodiment of the present disclosure, when the server actively and actively recommends the resource to the user, before the step 102, the following steps may be added: when it is detected that the preset resource library has an update, it is determined that the preset resource recommendation condition is met.

In the embodiment of the present disclosure, when the user triggers the server to recommend the resource to the user, before the step 102, the following steps may be added: when the access event triggered by the target user is monitored, it is determined that the preset resource recommendation condition is met; Accessing events can include opening a specific application, opening a web page, or clicking on it.

In the embodiment of the present specification, the status information of the target user may include at least one of the following: the current location of the target user, the environment where the target user is currently located, the event where the target user is currently located, and the target user pre-designated. The location, the environment in which the target user pre-designates the location, and the event in which the target user pre-designates the location; wherein the environment may include: weather, air quality, etc., the event may include: a large festival event, a promotion event, etc., the user pre-designated location may Including: the user travels, travels, etc.

In the embodiment of the present specification, the historical behavior of each user may be collected in advance, and the historical behavior of each user may be analyzed, for example, using a machine learning model for analysis, obtaining user characteristics of each user, and establishing a correspondence between the user identifier and the user feature, and save. In this case, the user feature information of the target user can be obtained by acquiring the user identification information of the target user, and obtaining the target user according to the user identification information of the target user and the corresponding relationship between the user identifier and the user feature. User identification information corresponding to the user identification information.

In the embodiment of the present specification, when the predetermined resource recommendation condition is met, the historical behavior of the target user may be collected, and the historical behavior of the collected target user may be analyzed to obtain user feature information of the target user.

It should be noted that, in the embodiment of the present specification, the user identification information is information for uniquely identifying the user. User characteristic information can be understood as a user portrait, such as a user's behavior habits, interest preferences, and the like.

In the embodiment of the present specification, an access event of each user may be collected in advance, an access event of each user is analyzed, and the user is divided into several categories of people, for example, according to consumption characteristics, it is divided into: a level consumer group and a potential consumer group. , negative consumer groups, strong consumer groups, backbone consumer groups, vulnerable consumer groups and economic consumer groups. Then, the correspondence between the user ID and the crowd category is established and saved. In this case, the crowd category information to which the target user belongs can be obtained by:

Obtaining the user identification information of the target user, and acquiring the category information of the group corresponding to the user identification information of the target user according to the user identification information of the target user and the corresponding relationship between the user identifier and the category of the user.

In step 104, the to-be-recommended resource matching the target user is determined according to the state information of the target user, the user feature information, and the associated group category information.

In the embodiment of the present specification, the status information to be recommended may be determined by combining the status information of the target user, the user characteristic information, and the belonging category information. For example, first, using the status information of the target user, a part of the resources (referred to as “the first candidate resource set”) is filtered out from the preset resource library, and then the user feature information of the target user is used, from the first candidate resource set. A part of the resources (referred to as a “second candidate resource set”) is further selected, and finally, the to-be-recommended resources are selected from the second candidate resource set by using the group category information to which the target user belongs.

In the embodiment of the present specification, the to-be-recommended resource may be determined according to the status information of the target user, the user feature information, and the associated category information. For example, determining, according to the status information of the target user and the user feature information, a first type of to-be-recommended resource that matches the target user; and determining, according to the category information of the target user, the second type of to-be-recommended resource that matches the target user; One type of resource to be recommended and the second type of resource to be recommended constitute the final resource to be recommended.

In step 106, the resource to be recommended is recommended to the target user.

In the embodiment of the present specification, the resources to be recommended may be sorted, and then the sorting result is pushed to the target user, so as to recommend the recommended resources to the target user.

It can be seen from the foregoing embodiment that, in this embodiment, the corresponding resource may be recommended to the user based on the user's state information, the user feature, and the user's belonging category; the user's state information, user feature information, and the user's belonging category may be The user's interest and current needs are reflected to a large extent. Therefore, the embodiments of the present specification can implement accurate recommendation of resources and improve recommendation efficiency.

2 is a flowchart of a resource recommendation method according to another embodiment of the present specification. In the case where the resource to be recommended is determined according to the state information of the target user, the user feature information, and the associated category information, respectively, as shown in FIG. The method can include the following steps:

In step 202, when the preset resource recommendation condition is met, the state information of the target user, the user feature information, and the associated group category information are acquired.

The step 202 in the embodiment of the present invention is similar to the step 102 in the embodiment shown in FIG. 1, and details are not described herein again. For details, please refer to the content in the embodiment shown in FIG.

In step 204, a first type of to-be-recommended resource matching the target user is determined according to the state information of the target user and the user feature information.

In the embodiment of the present specification, the first type of to-be-recommended resource is a resource determined based on status information and user characteristics of the target user, and the second type of to-be-recommended resource is a resource determined based on the category information of the target user, where the first category is The recommended resources may include one or more resources, and the second type of recommended resources may include one or more resources.

In the embodiment of the present specification, the first type of to-be-recommended resources that are matched with the target user may be determined based on the state information and the user feature information of the target user. In this case, the foregoing step 204 may include the following steps: step 2041 and step 2042, where ,

In step 2041, context information for describing the target user is generated according to the state information of the target user and the user feature information.

In the embodiment of the present specification, the context information may be understood as a “user label” for describing the status and characteristics of the target user.

In step 2042, the preset resource library is retrieved according to the context information of the target user, and the first type of to-be-recommended resources matching the context information of the target user is obtained.

In the embodiment of the present specification, the correspondence between the context information of the user and the resource stored in the preset resource library may be established in advance, and then the context of the target user is obtained from the preset resource library according to the correspondence relationship and the context information of the target user. The first type of resources to be recommended for information matching.

In an example, taking the coupon as an example, the context information of the target user is generated according to the real-time status of the target user and the user characteristics, and the database for storing the coupon is retrieved based on the context information and the correspondence between the pre-established user context and the coupon. , obtain a coupon that matches the context information.

In step 206, a second type of to-be-recommended resource matching the target user is determined according to the crowd category information of the target user.

In the embodiment of the present specification, the correspondence between the population category and the resource may be established in advance, and then the second type of to-be-recommended resources matching the target user is determined according to the correspondence and the group category information of the target user.

In step 208, the first type of to-be-recommended resources and the second type of to-be-recommended resources are sorted, and the sorting result is recommended to the target user.

In the embodiment of the present specification, the sorting result may include: a recommended order of resources. The recommendation manner of the sorting result may include: recommending by means of a list, the list displays multiple resources, and the resources in the list are sorted according to a certain rule; or the recommended manner of the sorting result may include: pushing one by one in a certain order Every resource.

In the embodiment of the present specification, the first type of to-be-recommended resources and the second type of to-be-recommended resources may be mixed and sorted, or the first type of to-be-recommended resources and the second type of to-be-recommended resources may be separately sorted.

In the embodiment of the present specification, when the first type of to-be-recommended resources and the second type of to-be-recommended resources are mixed and sorted, the foregoing step 208 may include the following steps: mixing the first type of to-be-recommended resources and the second-type to-be-recommended resources. Sort and recommend mixed sort results to target users.

In the embodiment of the present specification, when the resources in the first type of resources to be recommended are completely different from the resources in the second type of resources to be recommended, the first type of resources to be recommended may be selected in the front, and the second type is to be selected. The recommended resources are listed later; or, the second type of resources to be recommended may be ranked first, and the first type of resources to be recommended may be listed later; or, according to the attributes of the resources (such as the amount of the coupon or the discount of the coupon) ), mixing and sorting the first type of resources to be recommended and the resources to be recommended of the second type.

When the resources in the first type of resources to be recommended are the same as the resources in the second type of resources to be recommended, the deduplication operation is first performed (the resources to be repeated are recommended only once), and then the duplicate resources are ranked first. The unrepeated resources are listed later.

When the resources in the first type of resources to be recommended are exactly the same as the resources in the second type of resources to be recommended, the recommended resources may be sorted according to the attributes of the resources (for example, the amount of the coupon or the strength of the discount), wherein the repeated Resources are only recommended once.

In the embodiment of the present specification, when the first type of the to-be-recommended resource and the second type of the to-be-recommended resource are separately sorted, the foregoing step 208 may include the following steps: step 2081, step 2082, and step 2083, where

In step 2081, the resources in the first type of resources to be recommended are sorted to obtain a first sorting result.

In one example, the first type of to-be-recommended resources includes: coupon 1, coupon 2, coupon 3, and coupon 4. In this step, coupon 1, coupon 2, coupon 3, and coupon 4 are sorted, for example, the first sort result To: The recommended order is coupon 1, coupon 2, coupon 3, and coupon 4.

In step 2082, the resources in the second type of resources to be recommended are sorted to obtain a second sorting result.

In one example, the second type of to-be-recommended resources includes: coupon 6, coupon 7, coupon 8 and coupon 9, in this step, the coupon 6, coupon 7, coupon 8 and coupon 9 are sorted, for example, the second sort result The order of recommendation is, in order, coupon 6, coupon 7, coupon 8, and coupon 9.

In step 2083, the first sorting result and the second sorting result are respectively recommended to the target user.

The technical solution of the present specification can be applied to a marketing system, which can simultaneously implement marketing according to classification and perform marketing based on user real-time status, for example, for issuing coupons, for convenience of understanding, FIG. 3 shows an application book. The marketing system of the solution includes: a crowd recall module, a crowd category storage system, a crowd classification module, an event message queue, a voucher library; and a user real-time status acquisition module, a tag recall module, a user feature storage system, a voucher storage system And sorting recommendation modules.

The marketing system may include two links, and the first link is composed of a crowd recall module, a crowd category storage system, a crowd classification module, an event message queue, and a voucher library; wherein the event message queue is used to store clicks of a large number of users, Searching and paying for events, and sending the events of the massive users to the crowd classification module; the crowd classification module is configured to divide the mass users into several crowd categories according to the events in the event message queue, and inform the crowd categories of the divided population categories. a storage system; the voucher library is used to store the voucher, and the information of the stored voucher is notified to the crowd category storage system; the crowd category storage system is configured to store the correspondence between the crowd category and the voucher; the above processes are all implemented by offline operations;

When the user A accesses, the crowd recalling module acquires the category of the user to which the user A belongs, and obtains the correspondence between the group of the people and the vouchers from the group of categories, and determines the relationship with the user A according to the category of the user to which the user A belongs and the corresponding relationship. The corresponding category of the crowd category.

The second link is composed of a user real-time status acquisition module, a label recall module, a user feature storage system, and a voucher storage system; wherein the voucher storage system is used for storing coupons, and the user feature storage system is configured to store user characteristics of the user; During A access, the real-time status acquisition module of the user obtains the real-time status information of the user A (for example, obtaining the real-time location and the weather, business opportunity, etc. corresponding to the location), and sends the information to the label recall module; the label recall module acquires the user from the user feature storage system. The user characteristic information of A combines the real-time status information of the user A with the user characteristic information to form the context information of the user A, and then uses the context information retrieval ticket storage system to determine the coupon corresponding to the context information of the user A.

The sorting recommendation module sorts the coupons corresponding to the category of the crowd to which the user A belongs and the coupons corresponding to the context information of the user A determined by the recalling module determined by the crowd recalling module, and sorts them and returns them to the user A in order.

It can be seen that, in the marketing system based on the technical solution, the two links can reuse the sort recommendation module.

In the embodiment of the present specification, the integrated recommendation of the real-time crowd and the real-time status in the marketing system based on the technical solution improves the recommendation method of the voucher in the recommendation marketing, thereby improving the data of the voucher related to the user, and then selecting the user interested in The vouchers improve the overall recommendation efficiency.

It can be seen from the foregoing embodiment that, in this embodiment, the corresponding resource can be recommended to the user based on the user's state information and the user feature; and the corresponding resource can be recommended to the user based on the category of the user to which the user belongs. Two types of resource recommendation methods are supported. In addition, since the user's state information, user feature information, and the user's population category can reflect the user's interest and current needs to a large extent, the embodiments of the present specification can accurately recommend resources. Improve recommendation efficiency.

4 is a schematic structural diagram of a resource recommendation apparatus according to an embodiment of the present disclosure. As shown in FIG. 4, in a software implementation, the resource recommendation apparatus 400 may include: an obtaining unit 401, a determining unit 402, and a recommending unit 403. among them,

The obtaining unit 401 is configured to acquire state information, user feature information, and associated category information of the target user if the preset resource recommendation condition is met;

The determining unit 402 is configured to determine, according to the state information, the user feature information, and the crowd category information, a to-recommended resource that matches the target user;

The recommendation unit 403 is configured to recommend the to-be-recommended resource to the target user.

It can be seen from the foregoing embodiment that, in this embodiment, the corresponding resource may be recommended to the user based on the user's state information, the user feature, and the user's belonging category; the user's state information, user feature information, and the user's belonging category may be The user's interest and current needs are largely reflected. Therefore, the embodiments of the present specification can implement accurate recommendation of resources and improve recommendation efficiency.

Optionally, as an embodiment, the determining unit 402 may include:

a first resource determining subunit, configured to determine, according to the state information and the user feature information, a first type of to-be-recommended resource that matches the target user;

And a second resource determining subunit, configured to determine, according to the crowd category information, a second type of to-be-recommended resource that matches the target user.

Optionally, as an embodiment, the first resource determining subunit may include:

a context information generating subunit, configured to generate context information for describing the target user according to the state information and the user feature information;

The first type of to-be-recommended resource determining sub-units is configured to retrieve a preset resource library according to the context information, and obtain a first-type to-be-recommended resource that matches the context information.

Optionally, as an embodiment, the recommending unit 403 may include:

a first sorting subunit, configured to perform a mixed sorting of the first type of to-be-recommended resources and the second type of to-be-recommended resources to obtain a mixed sorting result;

And a first recommendation subunit, configured to recommend the mixed sorting result to the target user.

Optionally, as an embodiment, the recommending unit 403 may include:

a second sorting subunit, configured to sort resources in the first type of resources to be recommended, to obtain a first sorting result;

a third sorting subunit, configured to sort resources in the second type of resources to be recommended, to obtain a second sorting result;

a second recommendation subunit, configured to recommend the first sorting result and the second sorting result to the target user respectively.

Optionally, as an embodiment, the resource recommendation apparatus 400 may further include:

a detecting unit, configured to determine that the preset resource recommendation condition is met when detecting that the preset resource library has an update; or

The monitoring unit is configured to determine that the preset resource recommendation condition is met when the access event triggered by the target user is monitored.

Optionally, as an embodiment, the status information may include at least one of the following:

The current location of the target user, the environment in which the target user is currently located, the event in which the target user is currently located, the pre-designated location of the target user, and the pre-designated location of the target user The environment and the target user pre-specified the events that occurred at the location.

The resource recommendation device 400 can also perform the method of the embodiment shown in FIG. 1 and implement the functions of the resource recommendation device in the embodiment shown in FIG. 4, and details are not described herein again.

FIG. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present specification. As shown in FIG. 5, at the hardware level, the electronic device includes a processor, optionally including an internal bus, a network interface, and a memory. The memory may include a memory, such as a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. Of course, the electronic device may also include hardware required for other services.

The processor, the network interface, and the memory may be interconnected by an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended) Industry Standard Architecture, extending the industry standard structure) bus. The bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one double-headed arrow is shown in Figure 5, but it does not mean that there is only one bus or one type of bus.

Memory for storing programs. In particular, the program can include program code, the program code including computer operating instructions. The memory can include both memory and non-volatile memory and provides instructions and data to the processor.

The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs to form a resource recommendation device at a logical level. The processor executes the program stored in the memory and is specifically used to perform the following operations:

Recommending the to-be-recommended resource to the target user.

The method performed by the resource recommendation apparatus disclosed in the embodiment shown in FIG. 5 of the present specification may be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in a processor or an instruction in a form of software. The above processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; or may be a digital signal processor (DSP), dedicated integration. Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component. The methods, steps, and logic blocks disclosed in the embodiments of the present specification can be implemented or executed. The general purpose processor may be a microprocessor or the processor or any conventional processor or the like. The steps of the method disclosed in the embodiments of the present specification may be directly implemented by the hardware decoding processor, or may be performed by a combination of hardware and software modules in the decoding processor. The software module can be located in a conventional storage medium such as random access memory, flash memory, read only memory, programmable read only memory or electrically erasable programmable memory, registers, and the like. The storage medium is located in the memory, and the processor reads the information in the memory and combines the hardware to complete the steps of the above method.

The electronic device can also perform the method of FIG. 1 and implement the functions of the resource recommendation device in the embodiment shown in FIG. 1. The embodiments of the present specification are not described herein again.

Of course, in addition to the software implementation, the electronic device of the present specification does not exclude other implementation manners, such as a logic device or a combination of software and hardware, etc., that is, the execution body of the following processing flow is not limited to each logical unit. It can also be hardware or logic.

Embodiments of the present specification also provide a computer readable storage medium storing one or more programs, the one or more programs including instructions that are portable electronic devices that include a plurality of applications When executed, the portable electronic device can be configured to perform the method of the embodiment shown in FIG. 1 and specifically for performing the following methods:

Recommending the to-be-recommended resource to the target user.

In conclusion, the above description is only the preferred embodiment of the present specification, and is not intended to limit the scope of the present specification. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of this specification are intended to be included within the scope of this specification.

The system, device, module or unit illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product having a certain function. A typical implementation device is a computer. Specifically, the computer can be, for example, a personal computer, a laptop computer, a cellular phone, 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 includes both permanent and non-persistent, removable and non-removable media. Information storage can be implemented by any method or technology. The information can be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media 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 disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary storage of computer readable media, such as modulated data signals and carrier waves.

It is also to be understood that the terms "comprises" or "comprising" or "comprising" or any other variations are intended to cover a non-exclusive inclusion, such that a process, method, article, Other elements not explicitly listed, or elements that are inherent to such a process, method, commodity, or equipment. An element defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device including the element.

The various embodiments in the specification are described in a progressive manner, and the same or similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

Claims

A resource recommendation method, the method comprising:

Obtaining state information, user feature information, and associated category information of the target user when the preset resource recommendation condition is met;

Determining a to-be-recommended resource that matches the target user according to the state information, the user feature information, and the crowd category information;

Recommending the to-be-recommended resource to the target user.
The method according to claim 1, wherein the determining the to-be-recommended resource that matches the target user according to the state information, the user feature information, and the crowd category information includes:

Determining, according to the status information and the user feature information, a first type of to-be-recommended resource that matches the target user;

Determining, according to the crowd category information, a second type of to-be-recommended resource that matches the target user.
The method according to claim 2, the determining the first type of to-be-recommended resources that match the target user according to the status information and the user feature information, including:

Generating context information for describing the target user according to the status information and the user feature information;

And retrieving the preset resource library according to the context information, and obtaining a first type of to-be-recommended resource that matches the context information.
The method of claim 2, the recommending the to-be-recommended resource to the target user, comprising:

The first type of to-be-recommended resources and the second type of to-be-recommended resources are mixed and sorted, and the mixed sorting result is recommended to the target user.
The method of claim 2, the recommending the to-be-recommended resource to the target user, comprising:

Sorting the resources in the first type of resources to be recommended to obtain a first sorting result;

Sorting resources in the second type of resources to be recommended, to obtain a second sorting result;

The first sorting result and the second sorting result are respectively recommended to the target user.
The method of claim 1 further comprising:

When it is detected that the preset resource library has an update, determining that the preset resource recommendation condition is met; or

When the access event triggered by the target user is monitored, it is determined that the preset resource recommendation condition is met.
The method according to any one of claims 1 to 6, wherein the status information comprises at least one of the following:

The current location of the target user, the environment in which the target user is currently located, the event in which the target user is currently located, the pre-designated location of the target user, and the pre-designated location of the target user The environment and the target user pre-specified the events that occurred at the location.
A resource recommendation device, the device comprising:

An obtaining unit, configured to acquire status information, user feature information, and associated category information of the target user, if the preset resource recommendation condition is met;

a determining unit, configured to determine, according to the state information, the user feature information, and the crowd category information, a to-recommended resource that matches the target user;

a recommendation unit, configured to recommend the to-be-recommended resource to the target user.
The determining unit according to claim 8, wherein the determining unit comprises:

a first resource determining subunit, configured to determine, according to the state information and the user feature information, a first type of to-be-recommended resource that matches the target user;

And a second resource determining subunit, configured to determine, according to the crowd category information, a second type of to-be-recommended resource that matches the target user.
The apparatus according to claim 9, wherein the first resource determining subunit comprises:

a context information generating subunit, configured to generate context information for describing the target user according to the state information and the user feature information;

The first type of to-be-recommended resource determining sub-units is configured to retrieve a preset resource library according to the context information, and obtain a first-type to-be-recommended resource that matches the context information.
The device according to claim 9, wherein the recommending unit comprises:

a first sorting subunit, configured to perform a mixed sorting of the first type of to-be-recommended resources and the second type of to-be-recommended resources to obtain a mixed sorting result;

And a first recommendation subunit, configured to recommend the mixed sorting result to the target user.
The device according to claim 9, wherein the recommending unit comprises:

a second sorting subunit, configured to sort resources in the first type of resources to be recommended, to obtain a first sorting result;

a third sorting subunit, configured to sort resources in the second type of resources to be recommended, to obtain a second sorting result;

a second recommendation subunit, configured to recommend the first sorting result and the second sorting result to the target user respectively.
The apparatus of claim 8 further comprising:

a detecting unit, configured to determine that the preset resource recommendation condition is met when detecting that the preset resource library has an update; or

And a monitoring unit, configured to determine that the preset resource recommendation condition is met if the access event triggered by the target user is monitored.
The apparatus according to any one of claims 8 to 13, wherein the status information comprises at least one of the following:

The current location of the target user, the environment in which the target user is currently located, the event in which the target user is currently located, the pre-designated location of the target user, and the pre-designated location of the target user The environment and the target user pre-specified the events that occurred at the location.
An electronic device comprising:

Processor;

A memory arranged to store computer executable instructions that, when executed, cause the processor to perform the following operations:

Obtaining state information, user feature information, and associated category information of the target user when the preset resource recommendation condition is met;

Determining a to-be-recommended resource that matches the target user according to the state information, the user feature information, and the crowd category information;

Recommending the to-be-recommended resource to the target user.
A computer storage medium storing one or more programs, the one or more programs, when executed by an electronic device comprising a plurality of applications, causing the electronic device to:

Obtaining state information, user feature information, and associated category information of the target user when the preset resource recommendation condition is met;

Determining a to-be-recommended resource that matches the target user according to the state information, the user feature information, and the crowd category information;

Recommending the to-be-recommended resource to the target user.