CN111127053A

CN111127053A - Page content recommendation method and device and electronic equipment

Info

Publication number: CN111127053A
Application number: CN201811276226.9A
Authority: CN
Inventors: 邵聪; 刁睿桦; 高汉东
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba South China Technology Co ltd
Priority date: 2018-10-30
Filing date: 2018-10-30
Publication date: 2020-05-08
Anticipated expiration: 2038-10-30
Also published as: CN111127053B

Abstract

The embodiment of the application discloses a page content recommendation method, a page content recommendation device and electronic equipment, wherein the method comprises the following steps: obtaining operation behavior information executed by a user on the content associated with the target resource location in the process of browsing the page, and determining the interest degree of the user on the content associated with the target resource location according to the operation behavior information; if the interest degree meets the preset condition, determining the target granularity of the content to be recommended according to the flow guide granularity corresponding to the section where the target resource position is located; determining the content to be recommended according to the content associated with the target resource position and the target granularity; and returning the content to be recommended to the client so that the client can display the content to be recommended according to the position of the target resource position. Through the embodiment of the application, more accurate shunting can be realized.

Description

Page content recommendation method and device and electronic equipment

Technical Field

The present application relates to the technical field of page content recommendation, and in particular, to a page content recommendation method, an apparatus, and an electronic device.

Background

In a network sales platform, large sales campaigns are often held within the scope of the platform. The platform will then provide a special portal page for this promotional activity, which is commonly referred to as a home meeting page. The main meeting place page is used as the general entrance of the activity, and centralized shunting can be realized. To achieve the above purpose, a page of the main meeting place is usually provided with many resource bits (pit bits) that can be used to show entries of a plurality of different meeting places. For example, in the main meeting place page of the event, the entrance of the meeting places in multiple industries such as makeup, mother and baby, and clothes can be included, each large industry may have entrance of multiple meeting places in the industry, and so on.

For the main meeting place page, how to more accurately provide the information more meeting the needs of the user is the product target of the main meeting place page. For this reason, some solutions are provided in the prior art, for example, a main meeting place page of "thousands of people and thousands of faces" can be provided according to personalized preference information of different users and the like. That is, the main body frame of the main meeting place page that it sees may be the same for different users, but the content of the specific presentation may not be the same. For example, for some female users, the entrance of a meeting place in the industries of apparel, beauty and make-up, etc. may be shown in a more advanced resource location; for some male users, the entrance of the branch meeting place in the industries of digital code, mobile phone, etc. may be displayed in the resource position at the front, and so on.

However, "thousands of people and thousands of faces" are usually generated according to information such as historical behavior records of users, and in practical applications, although the historical behavior records can reflect interests and hobbies of users to some extent, some real-time generated interests may be more important. That is, it is obvious that one person's historical behavior record cannot comprehensively and accurately predict the actual needs of his current browsing, so that only "thousands of people and thousands of faces" may still not be more accurately guided.

Therefore, how to more accurately guide the flow through the main meeting place page becomes a technical problem to be solved by the technical personnel in the field.

Disclosure of Invention

The application provides a page content recommendation method and device and electronic equipment, which can realize more accurate distribution.

The application provides the following scheme:

a page content recommendation method is provided, wherein a page comprises a plurality of sections with different guide granularity, and each section comprises a plurality of resource positions; the method comprises the following steps:

obtaining operation behavior information executed by a user on the content associated with the target resource location in the process of browsing the page, and determining the interest degree of the user on the content associated with the target resource location according to the operation behavior information;

if the interest degree meets the preset condition, determining the target granularity of the content to be recommended according to the flow guide granularity corresponding to the section where the target resource position is located;

determining the content to be recommended according to the content associated with the target resource position and the target granularity;

and returning the content to be recommended to the client so that the client can display the content to be recommended according to the position of the target resource position.

collecting operation behavior information executed by a user on content associated with a target resource position in the process of browsing the page, and submitting the operation behavior information to a server so that the server can determine the interest degree of the user on the content associated with the target resource position, if the interest degree meets a preset condition, determining the target granularity of the content to be recommended according to the flow guide granularity corresponding to the layout block where the target resource position is located, and determining the content to be recommended according to the content associated with the target resource position and the target granularity;

receiving the content to be recommended returned by the server;

and displaying the content to be recommended according to the position of the target resource position.

A page content recommendation device is provided, wherein a page comprises a plurality of sections with different diversion granularities, and each section comprises a plurality of resource positions; the device comprises:

the user interest judging unit is used for acquiring operation behavior information executed on the content associated with the target resource position by the user in the process of browsing the page, and determining the interest degree of the user on the content associated with the target resource position according to the operation behavior information;

a recommended content granularity determining unit, configured to determine a target granularity of the content to be recommended according to the flow guide granularity corresponding to the section where the target resource location is located if the interest degree meets a preset condition;

the recommended content determining unit is used for determining the content to be recommended according to the content related to the target resource position and the target granularity;

and the recommended content returning unit is used for returning the content to be recommended to the client so that the client can display the content to be recommended according to the position of the target resource position.

A page content recommendation device comprises a page and a plurality of sections with different guide particle sizes, wherein each section comprises a plurality of resource positions; the device comprises:

the information acquisition unit is used for acquiring operation behavior information executed by a user on the content associated with the target resource position in the process of browsing the page and submitting the operation behavior information to the server so that the server can determine the interest degree of the user on the content associated with the target resource position, if the interest degree meets a preset condition, the target granularity of the content to be recommended is determined according to the flow guide granularity corresponding to the block where the target resource position is located, and the content to be recommended is determined according to the content associated with the target resource position and the target granularity;

the recommended content receiving unit is used for receiving the content to be recommended returned by the server;

and the recommended content display unit is used for displaying the content to be recommended according to the position of the target resource position.

An electronic device, comprising:

one or more processors; and

a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:

acquiring operation behavior information executed by a user on content associated with a target resource position in a page browsing process, and submitting the operation behavior information to a server so that the server can determine the interest degree of the user on the content associated with the target resource position, if the interest degree meets a preset condition, determining the target granularity of the content to be recommended according to the flow guide granularity corresponding to the layout block where the target resource position is located, and determining the content to be recommended according to the content associated with the target resource position and the target granularity;

receiving the content to be recommended returned by the server;

According to the specific embodiments provided herein, the present application discloses the following technical effects:

by the aid of the method and the device, real-time recommendation function can be achieved in a plurality of sections in the page, and when recommendation is conducted in each section, factors of flow guide granularity in the sections can be considered, so that granularity of the content to be recommended is determined. So that the recommendation direction may be "spread" from one commodity object to a collection of commodity objects such as a branch place, or "gather" from a brand/store object to a specific commodity object, or the like, instead of recommending other commodity objects based on one commodity object at a time. In this way, more contents can get more exposure opportunities, and more accurate shunting can be realized.

Of course, it is not necessary for any product to achieve all of the above-described advantages at the same time for the practice of the present application.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

FIG. 1 is a schematic diagram of a system architecture provided by an embodiment of the present application;

FIG. 2 is a flow chart of a first method provided by an embodiment of the present application;

3-1 to 3-3 are schematic diagrams of a first content recommendation method provided by an embodiment of the present application;

4-1 to 4-3 are schematic diagrams of a second content recommendation method provided in the embodiment of the present application;

5-1, 5-2 are schematic diagrams of a third content recommendation mode provided by the embodiment of the present application;

FIG. 6 is a flow chart of a second method provided by embodiments of the present application;

FIG. 7 is a schematic diagram of a first apparatus provided by an embodiment of the present application;

FIG. 8 is a schematic diagram of a second apparatus provided by an embodiment of the present application;

fig. 9 is a schematic diagram of an electronic device provided in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be derived from the embodiments given herein by a person of ordinary skill in the art are intended to be within the scope of the present disclosure.

In the process of implementing the present application, the inventor of the present application finds that there is a "guess-you-like" section in a daily scenario (i.e., a conventional client home page, not a main meeting place page of a large promotion), where each resource position may be used to show a detailed page link of some specific merchandise objects, which may be determined according to the merchandise objects that may be of interest to the user, determined according to the user's history browsing, purchase record, and the like. In the prior art, the 'guess you like' section has a real-time recommendation function. That is, in the process that the user browses the 'guess-you-like' plate, the behaviors of the user in the browsing process can be collected, and then the 'guess-you-like' commodity flow is directly interfered. For example, a user clicks on a link of a certain commodity object, and then performs some operations, such as collection, adding to a shopping cart, evaluation, etc., on a detail page of the commodity object, so that the user can be considered to be interested in the commodity. When the user exits the detail page of the commodity object and returns to the "guess you like" section of the home page, a link related to or similar to the commodity object to another commodity object may be provided in the resource location where the commodity object link is located, and the specific recommendation logic may be to recommend another commodity object that has been browsed by another user who has browsed the commodity object. Therefore, the interest points of the user can be found in real time according to the behaviors of the user in the process of actually browsing the page, and the commodities which the user may be interested in are recommended in real time, so that the recommended result is more in line with the requirements of the user.

If the scheme is applied to the activity main meeting place page of the large-scale promotion activity, the main meeting place page can have a real-time recommendation function so as to realize more accurate diversion. However, the solution is equivalent to a fixed block responding to the user's behavior, and in the event main meeting place page, besides the "guess-you like" block, there are usually other blocks, including a block for presenting links to entries of each branch meeting place, and possibly a block for presenting links to pages of some well-known brands, stores, etc. That is, the "guess you like" section may be only a part of the active main meeting place page, so the user does not have to guess you like "section to browse, therefore the content triggering rate of these efficient real-time recommendations is very random, and depends completely on whether the user will look at the" guess you like "section or not in future behavior. In addition, the real-time recommendation function in the prior art is mainly to recommend on the granularity of the commodity object, and for the activity main meeting place page, an important purpose is to shunt the access traffic of the user from the centralized main meeting place to each sub meeting place.

Therefore, the embodiment of the application is improved aiming at the existing real-time recommendation function. In the improved scheme, it is considered that for a main meeting place page, a plurality of different sections are usually provided, and the different sections are used for guiding flow on different flow guiding granularities, so that real-time recommendation can be performed on the sections with different flow guiding granularities, and the granularity of specifically recommended content can be determined according to the granularity of the section where the user actually operates.

The method includes that a resource bit is used for guiding user access traffic of a main meeting place page to other pages, the guiding mode is that a plurality of resource bits are set in the main meeting place page, each resource bit corresponds to a link of a specific page, and if a user clicks the link of a certain resource bit when visiting the main meeting place page, the guiding is equivalent to guiding the user traffic to the page corresponding to the link. The second layer means that in the same main meeting place page, the pages pointed by the current guide through different resource positions have different granularities. The so-called granularity may be specifically determined according to the information aggregation unit of a specific page. For example, a link of a commodity object is displayed in a certain resource position, that is, a detail page corresponding to the link is information aggregation performed by taking a specific commodity object as a unit, where the detail page may include pictures, text descriptions, evaluation information, and the like of the specific commodity object, and the diversion granularity is a commodity object granularity. If a resource location shows a link of a brand/store, that is, the detail page corresponding to the link is information aggregation performed by taking a brand/store as a unit, wherein the information of a plurality of commodity objects in the brand or store is usually included. This diversion granularity may be referred to as brand/store granularity, which is greater in size than the commodity object granularity. In addition, if a resource position shows a link of an affiliate, that is, the detail page corresponding to the link is information aggregation performed by taking an affiliate as a unit, wherein the information aggregation generally includes information of a plurality of brands/store objects and/or a plurality of commodity objects in the affiliate. The diversion granularity can be called as branch-room granularity, and the granularity is usually greater than the brand/store granularity and also greater than the commodity object granularity. That is, the particle size can be generally classified from large to small: a branch floor granularity, a brand/store granularity, a commodity object granularity, and so on. In the main meeting place page, resource positions can be classified according to the diversion granularity to form a plurality of different sections, such as a branch meeting place section, a brand/store section and a commodity object section. The branch meeting place is generally divided according to industries and the like, multiple brands/shops may be included in the same industry, multiple specific commodity objects are included under specific brands/shops, when flow guiding is performed according to the granularity, user flow can be guided to a page of the specific branch meeting place, and a user can obtain specific information of the multiple commodity objects or even the multiple brands/shops through the page. Accordingly, users who click on such resource locations are often less accurate in their goals, e.g., may not have a clear intent for a particular brand/store, etc., and particular merchandise objects are less defined. The brand/store granularity will typically be less than the branch-room granularity, with a particular brand or corresponding page in the store including only information about the merchandise objects participating in the current activity in that brand or store. Users who click on such resource locations may be relatively more targeted and may have a higher awareness or recognition of a particular brand/store than users who click on the resource locations of the block of the branch venue. The granularity of the commodity object only represents a specific commodity object, and when the flow is guided according to the granularity, the user can be directly guided to a detailed page of the specific commodity object. The granularity is finest, and correspondingly, the target representing the user is more definite.

When real-time recommendation is performed in the sections with different granularities, the granularity of the content to be recommended can be the same as or different from that of the current section. For example, when recommendation is made in a block of a commodity object granularity (e.g., a "guess you like" block), the granularity of the content to be recommended may be a branch room, and when recommendation is made in a block of a brand/store granularity, the granularity of the content to be recommended may be a commodity object within a specific brand/store. The former may enable more granular "diffusion" from a particular item to a meeting place, and the latter may enable less granular "gathering" from a brand/store to a particular item. That is, real-time recommendation can be performed according to the specific granularity of the actual layout, so that the recommendation process is not uniformly "spread", and in the layouts such as brands, shops and the like, since a user may have certain cognition or recognition degree on the brands, shops and the like, the user does not need to spread to other brands, shops and other branch places, and therefore, appropriate "gathering" can be performed, so that accurate recommendation can be realized. In addition, when real-time recommendation is performed in the branch meeting place block, other specific branch meeting places can be recommended, so that the branch meeting place which meets the requirements of the user can be exposed to the current user more limitedly, and the like.

That is to say, in the embodiment of the application, real-time recommendation can be achieved in a plurality of sections with different flow guide granularities of the activity meeting place page, and the granularity of recommended content can be determined according to the flow guide granularity of the section where the recommended content is located, so that a more flexible recommendation scheme is achieved.

In specific implementation, from the perspective of system architecture, as shown in fig. 1, the embodiment of the present application may include a server in a background and a client in a foreground, where the server is mainly used to provide various specific resources and data, analyze user behavior, generate recommended content, and the like, and the client is mainly used to present a front-end page, that is, a specific page and content recommended in real time in the page may be displayed according to page data provided by the server. The client may specifically be an independent application (App) running in the mobile terminal device, or may also be a web page displayed based on a browser in the terminal device, and the like, which is not limited herein.

The following describes in detail specific implementations provided in embodiments of the present application.

Example one

First, from the perspective of a server, the embodiment provides a page content recommendation method, where the page may specifically be an activity meeting place page, and specifically, the page includes a plurality of sections with different guiding granularities, and the sections include a plurality of resource slots; referring to fig. 2, the method includes:

s201: collecting operation behavior information executed on the content associated with the target resource position by a user in the process of browsing the page, and determining the interest degree of the user on the content associated with the target resource position according to the operation behavior information;

during specific implementation, specific operation behavior information of a user in a process of browsing a page can be recorded by a client and submitted to a server, so that the server can acquire the operation behavior information of the user specifically executed on content associated with a target resource bit in the page according to the information submitted by the client. For example, whether a click-to-view operation is performed on the content associated with a certain target resource bit, which operation actions are performed in a specific content detail page if the click-to-view operation is performed, and so on. These operational behaviors may be used to determine where the user is currently having a point of interest in real time. For example, if a user clicks one of the resource slots during browsing a main meeting place page, a link of a certain meeting place page is shown in the resource slot, and after entering the meeting place page, the user further clicks to view specific information in the meeting place, for example, to view a page of a specific brand/store, or to view a detailed page of a specific commodity object in the meeting place, and so on, it is proved that the user may be interested in the meeting place. And if a user clicks a branch site link, but only quickly browses the page of the branch site, and returns to the page of the main site without further performing specific operations such as clicking and checking, the user is proved to have little interest in the branch site. In addition, if a user browses the block of the conference room granularity in the page of the main conference room quickly, and does not perform specific operations such as clicking and viewing on any conference room link, it is proved that the user may not be interested in each currently displayed conference room, and the like. And judging the interest degree of the user in the specific page content in a similar manner for the layout contents with other granularities.

S202: if the interest degree meets the preset condition, determining the target granularity of the content to be recommended according to the flow guide granularity corresponding to the section where the target resource position is located;

after the interest degree of a user in the content associated with a specific target resource position is determined, if a preset condition is met, in the embodiment of the application, the target granularity of the content to be recommended can be determined according to the flow guide granularity corresponding to the layout block where the target resource position is located. That is to say, when finding that a user is interested in or not interested in the content of a certain target resource position, the method does not directly generate the content to be recommended, but first determines the diversion granularity information corresponding to the layout block to which the target resource position belongs, and then determines which specific granularity content needs to be recommended according to the information.

For example, if the flow guiding granularity of the section where the target resource position is located is a commodity object granularity, the target granularity of the content to be recommended may be determined as an activity meeting place. Specifically, as shown in fig. 3-1, a "guess you like" section is currently displayed in the main conference room page, where the specific content displayed is some commodity object streams, that is, the diversion granularity of the section is the commodity object granularity. Assume that a user has clicked on the item object link in the target asset location therein, shown at 301, to proceed to the item object detail information page as shown in fig. 3-2. Operations are subsequently performed in the detail information page indicating that the user is interested in the item object. Then, after the user returns to the home meeting place page through the "return" operation option at 3-2, as shown at 303 in FIG. 3-3, some of the branch meeting place links may be revealed at the target resource location that was previously operated. That is, when the user operates the information of the commodity object granularity, the real-time recommended object may be the information of the branch meeting place granularity, so that the diffusion from one commodity object to one branch meeting place is realized, and more similar commodity objects are exposed to the current user.

Or, if the diversion granularity of the section where the target resource position is located is brand/store, for example, the target granularity of the content to be recommended may be determined as commodity object granularity. For example, as shown in FIG. 4-1, assume that links to brands/store sections are currently shown in the home location page, i.e., links to brands and store objects are shown in the various resource locations. At this point, assuming the user clicked on the brand link shown at 401, the brand details page shown in FIG. 4-2 may be entered. The user may then perform some action on the page, such as viewing a detailed page of some particular item object therein, etc., to prove the user's interest in the brand. Thereafter, after the user has clicked the "back" operation option shown at 402 to return to the home meeting place page, links to some specific merchandise objects related to the brand may be revealed, as shown at 403 in FIGS. 4-3. That is, if the user is interested in content on the brand/store object granularity, it is not suitable to spread the content again particularly when real-time recommendation is performed, and therefore, content on the store granularity or other brand/store granularity is not recommended any more, but content recommendation on the commodity object granularity is performed directly within the brand/store object.

And if the flow guiding granularity of the section where the target resource position is located is the activity meeting place granularity, determining the target granularity of the content to be recommended as the activity meeting place granularity. For example, as shown at 501 in fig. 5-1, assume that the meeting place block is currently shown in the main meeting place page, and the entry links of multiple meeting places are shown in the resource positions. At this time, assuming that the user clicks and views a certain conference hall link and performs some operations on the conference hall page, after returning to the main conference hall page, as shown at 502 in fig. 5-2, some recommended contents of other conference halls similar to the viewed conference halls can be provided. Or, if the user has a fast page sliding speed during browsing the above-mentioned meeting place section, and does not click and view any of the meeting place links, it is proved that the user may not be interested in these meeting places, at this time, some information of other meeting places may also be recommended in real time at the position shown by 502 in fig. 5-2 during the page sliding process, specifically, information of meeting places different from each of the browsed meeting places, and so on.

It should be noted that the activity meeting place in the embodiment of the present application may specifically include a meeting place opened through multiple dimensions, for example, the activity meeting place may be divided into multiple meeting places according to different industries, and each industry meeting place may be further subdivided into multiple meeting places in the industries; or, a plurality of branch places can be created according to the list of various ranking lists; alternatively, multiple meeting places can be created according to scenes or labels (e.g., necessary for travel, necessary for fitness, etc.), and so on.

S203: determining the content to be recommended according to the content associated with the target resource position and the target granularity;

specifically, after the target granularity information of the content to be recommended is determined, the content to be recommended can be determined according to the content associated with the target resource position and the target granularity. For example, in the case that a branch venue is recommended by a commodity object, in a specific implementation, since a branch venue is usually associated with a commodity object set, specifically, when determining the content to be recommended, first, the similarity between the commodity object associated with the target resource location and the commodity object set associated with each activity branch venue may be determined, and the activity branch venue to be recommended may be determined according to the similarity.

Alternatively, in the case where one commodity object information is recommended by one brand/store object, the commodity object to be recommended may be determined from the set of brand/store-associated commodity objects associated with the target resource location. For example, one or more merchandise objects with the highest popularity may be selected from the set of brand/store associated merchandise objects for recommendation, and so on.

Or, in a case that contents of other branch places are recommended by one or more branch places, a target activity branch place whose similarity between the commodity object sets associated with the activity branch places corresponding to the target resource position meets a preset condition may be determined. For example, the similarity between the commodity object sets associated with the activity meeting places corresponding to the target resource positions may be higher than a certain first threshold (corresponding to a case where the user is interested in a certain activity meeting place), or lower than a certain second threshold (corresponding to a case where the user is not interested in each of the meeting places shown in the meeting place section), and so on.

S204: and returning the content to be recommended to the client so that the client can display the content to be recommended according to the position of the target resource position.

After the specific content to be recommended is determined, the content can be returned to the client side, and correspondingly, the client side can display the content to be recommended according to the position of the target resource position. According to different collected user operation behavior information, specific times for returning the content to be recommended can be various. For example, if the collected operation behavior information executed by the user on the content associated with the target resource position is the click-to-view operation behavior executed on the content associated with the target resource position and the related operation behavior information executed in the content detail page associated with the target resource position; then, after the content detail page associated with the target resource position returns to the position of the target resource in the page, the content to be recommended is returned to the client, and then the client displays the content to be recommended according to the position of the target resource position.

Or, if the collected user operation behavior is a sliding browsing operation behavior executed by the user on the content of the target resource position, the content to be recommended may also be returned to the client during the sliding browsing process, and then the client displays the content to be recommended according to the position of the target resource position.

In addition, when the client specifically displays the content to be recommended, there may be a plurality of specific implementation manners, for example, as shown in fig. 3 to 3, a floating layer may be created at the position of the target resource, and the content to be recommended may be displayed in the floating layer. Alternatively, as shown in fig. 4-3 or 5-2, a new resource bit may be inserted near the position of the target resource bit, and the content to be recommended may be shown in the inserted new resource bit.

In short, by the embodiment of the application, a real-time recommendation function can be realized in a plurality of sections in a page, and when recommendation is performed in each section, the guide granularity factor in each section can be considered, so that the guide granularity of the content to be recommended is determined. So that the recommendation direction may be "spread" from one commodity object to a collection of commodity objects such as a branch place, or "gather" from a brand/store object to a specific commodity object, or the like, instead of recommending other commodity objects based on one commodity object at a time. In this way, more contents can get more exposure opportunities, and more accurate shunting can be realized.

Example two

The second embodiment corresponds to the first embodiment, and provides a page content recommendation method from the perspective of a client, wherein the page comprises a plurality of sections with different guiding granularities, and the sections comprise a plurality of resource positions; referring to fig. 6, the method may specifically include:

s601: collecting operation behavior information executed by a user on content associated with a target resource position in the process of browsing the page, and submitting the operation behavior information to a server so that the server can determine the interest degree of the user on the content associated with the target resource position, if the interest degree meets a preset condition, determining the target granularity of the content to be recommended according to the flow guide granularity corresponding to the layout block where the target resource position is located, and determining the content to be recommended according to the content associated with the target resource position and the target granularity;

s602: receiving the content to be recommended returned by the server;

s603: and displaying the content to be recommended according to the position of the target resource position.

Specifically, when the content to be recommended is displayed according to the position of the target resource position, a floating layer may be created at the position of the target resource position, and the content to be recommended is displayed in the floating layer. Or, a new resource bit may be inserted near the position of the target resource bit, and the content to be recommended may be shown in the inserted new resource bit.

For the parts of the second embodiment that are not described in detail, please refer to the description of the first embodiment, which is not described herein again.

Corresponding to the first embodiment, the embodiment of the application further provides a page content recommendation device, wherein the page comprises a plurality of sections with different guiding granularities, and the sections comprise a plurality of resource positions; referring to fig. 7, the apparatus may specifically include:

a user interest determining unit 701, configured to obtain operation behavior information that is executed on content associated with a target resource location by a user in a process of browsing the page, and determine, according to the operation behavior information, a degree of interest of the user in the content associated with the target resource location;

a recommended content granularity determining unit 702, configured to determine, if the interest degree meets a preset condition, a target granularity of a content to be recommended according to a flow guide granularity corresponding to a section where the target resource location is located;

a recommended content determining unit 703, configured to determine, according to the content associated with the target resource bit and the target granularity, a content to be recommended;

a recommended content returning unit 704, configured to return the content to be recommended to the client, so that the client displays the content to be recommended according to the position of the target resource location.

In a specific implementation, the recommended diversion granularity determination unit may specifically be configured to: and if the flow guiding granularity of the section where the target resource position is located is the granularity of the commodity object, determining the target granularity of the content to be recommended as the granularity of the activity meeting place.

At this time, the recommended content determining unit may be specifically configured to determine a similarity between the commodity object associated with the target resource position and the commodity object set associated with each activity meeting place, and determine the activity meeting place to be recommended according to the similarity.

Or, the recommended diversion granularity determination unit may be specifically configured to:

and if the diversion granularity of the section where the target resource position is located is the brand/store object granularity, determining the target granularity of the content to be recommended as the commodity object granularity.

At this time, the recommended content determining unit may be specifically configured to,

and determining a commodity object to be recommended from the commodity object set associated with the shop and associated with the target resource position.

and if the flow guiding granularity of the section where the target resource position is located is the activity meeting place granularity, determining the target granularity of the content to be recommended as the activity meeting place granularity.

and determining a target activity meeting place of which the similarity between the commodity object sets associated with the activity meeting places corresponding to the target resource position meets preset conditions.

Wherein the operation behavior information executed on the content associated with the target resource bit includes: the click viewing operation behavior executed on the content associated with the target resource position and the related operation behavior information executed in the content detail page associated with the target resource position;

the content to be recommended returning unit may specifically be configured to:

and after the content detail page associated with the target resource position returns to the position of the target resource in the page, returning the content to be recommended to the client so that the client can display the content to be recommended according to the position of the target resource position.

Or, the operation behavior information executed on the content associated with the target resource bit includes: a sliding browse operation behavior performed on the content of the target resource bit;

at this time, the unit for returning the content to be recommended may specifically be configured to:

in the sliding browsing process, the content to be recommended is returned to the client side, so that the client side can display the content to be recommended according to the position of the target resource position.

Corresponding to the second embodiment, the embodiment of the application further provides a page content recommendation device, wherein the page comprises a plurality of sections with different guiding granularities, and the sections comprise a plurality of resource positions; referring to fig. 8, the apparatus may specifically include:

the information acquisition unit 801 is configured to acquire operation behavior information executed by a user on content associated with a target resource position in the process of browsing the page, and submit the operation behavior information to a server, so that the server determines the degree of interest of the user on the content associated with the target resource position, if the degree of interest meets a preset condition, determine target granularity of content to be recommended according to flow guide granularity corresponding to a block where the target resource position is located, and determine the content to be recommended according to the content associated with the target resource position and the target granularity;

a recommended content receiving unit 802, configured to receive content to be recommended returned by the server;

and a recommended content displaying unit 803, configured to display the content to be recommended according to the position of the target resource location.

In a specific implementation, the recommended content presentation unit may be specifically configured to create a floating layer at a position where the target resource is located, and present the content to be recommended in the floating layer.

Or, in another implementation manner, the recommended content presentation unit may be further configured to insert a new resource bit near the position of the target resource bit, and present the content to be recommended in the inserted new resource bit.

In addition, corresponding to the second embodiment, an embodiment of the present application further provides an electronic device, including:

one or more processors; and

receiving the content to be recommended returned by the server;

Where fig. 9 exemplarily illustrates the architecture of an electronic device, for example, the device 900 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, an aircraft, etc.

Referring to fig. 9, device 900 may include one or more of the following components: processing component 902, memory 904, power component 906, multimedia component 908, audio component 910, input/output (I/O) interface 912, sensor component 914, and communication component 916.

The processing component 902 generally controls the overall operation of the device 900, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 902 may include one or more processors 920 to execute instructions to complete generating a traffic compression request when a preset condition is met in the video playing method provided in the technical scheme of the present disclosure, and sending the traffic compression request to the server, where the traffic compression request records information for triggering the server to acquire a target attention area, and the traffic compression request is used to request the server to preferentially ensure a bitrate of video content in the target attention area; and playing the video content corresponding to the code stream file according to the code stream file returned by the server, wherein the code stream file is all or part of the video file obtained by carrying out code rate compression processing on the video content outside the target attention area by the server according to the flow compression request. Further, processing component 902 can include one or more modules that facilitate interaction between processing component 902 and other components. For example, the processing component 902 can include a multimedia module to facilitate interaction between the multimedia component 908 and the processing component 902.

The memory 904 is configured to store various types of data to support operation at the device 900. Examples of such data include instructions for any application or method operating on device 900, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 904 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power component 906 provides power to the various components of the device 900. The power components 906 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 900.

The multimedia components 908 include a screen that provides an output interface between the device 900 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 908 includes a front facing camera and/or a rear facing camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the device 900 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 910 is configured to output and/or input audio signals. For example, audio component 910 includes a Microphone (MIC) configured to receive external audio signals when device 900 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 904 or transmitted via the communication component 916. In some embodiments, audio component 910 also includes a speaker for outputting audio signals.

I/O interface 912 provides an interface between processing component 902 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor component 914 includes one or more sensors for providing status assessment of various aspects of the device 900. For example, the sensor component 914 may detect an open/closed state of the device 900, the relative positioning of components, such as a display and keypad of the device 900, the sensor component 914 may also detect a change in the position of the device 900 or a component of the device 900, the presence or absence of user contact with the device 900, orientation or acceleration/deceleration of the device 900, and a change in the temperature of the device 900. The sensor assembly 914 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor assembly 914 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 914 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 916 is configured to facilitate communications between the device 900 and other devices in a wired or wireless manner. The device 900 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 916 receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communications component 916 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the device 900 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions, for example, the memory 904 including instructions, where the instructions are executable by the processor 920 of the device 900 to perform generating a traffic compression request when a preset condition is met in a video playing method provided in the technical solution of the present disclosure, and sending the traffic compression request to a server, where the traffic compression request records information for triggering the server to obtain a target attention area, and the traffic compression request is used to request the server to preferentially guarantee a bitrate of video content in the target attention area; and playing the video content corresponding to the code stream file according to the code stream file returned by the server, wherein the code stream file is obtained by performing code rate compression processing on the video content outside the target attention area by the server according to the flow compression request. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

The page content recommendation method, the page content recommendation device and the electronic device provided by the application are introduced in detail, specific examples are applied in the text to explain the principle and the implementation of the application, and the description of the above embodiments is only used for helping to understand the method and the core idea of the application; meanwhile, for a person skilled in the art, according to the idea of the present application, the specific embodiments and the application range may be changed. In view of the above, the description should not be taken as limiting the application.

Claims

1. A page content recommendation method is characterized in that a page comprises a plurality of sections with different guide particle sizes, and each section comprises a plurality of resource positions; the method comprises the following steps:

2. The method of claim 1,

the determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the section where the target resource position is located includes:

and if the flow guiding granularity of the section where the target resource position is located is the granularity of the commodity object, determining the target granularity of the content to be recommended as the granularity of the activity meeting place.

3. The method of claim 2,

the determining the content to be recommended according to the content associated with the target resource bit and the target granularity includes:

and determining the similarity between the commodity object associated with the target resource position and the commodity object set associated with each activity meeting place, and determining the activity meeting place to be recommended according to the similarity.

4. The method of claim 1,

5. The method of claim 4,

6. The method of claim 1,

7. The method of claim 6,

8. The method of claim 1,

the operation behavior information executed on the content associated with the target resource bit comprises: the click viewing operation behavior executed on the content associated with the target resource position and the related operation behavior information executed in the content detail page associated with the target resource position;

the step of returning the content to be recommended to the client comprises the following steps:

9. The method of claim 1,

the operation behavior information executed on the content associated with the target resource bit comprises: a sliding browse operation behavior performed on the content of the target resource bit;

the content to be recommended is returned to the client, and the method comprises the following steps:

10. A page content recommendation method is characterized in that a page comprises a plurality of sections with different guide particle sizes, and each section comprises a plurality of resource positions; the method comprises the following steps:

receiving the content to be recommended returned by the server;

11. The method of claim 10,

the displaying the content to be recommended according to the position of the target resource position comprises:

and creating a floating layer at the position of the target resource position, and displaying the content to be recommended in the floating layer.

12. The method of claim 10,

and inserting a new resource position near the position of the target resource position, and displaying the content to be recommended in the inserted new resource position.

13. The device for recommending page content is characterized in that a page comprises a plurality of sections with different guide particle sizes, and each section comprises a plurality of resource positions; the device comprises:

14. The page content recommendation device is characterized in that a page comprises a plurality of sections with different guide particle sizes, and each section comprises a plurality of resource positions; the device comprises:

15. An electronic device, comprising:

one or more processors; and

receiving the content to be recommended returned by the server;