CN111127053B - Page content recommendation method and device and electronic equipment - Google Patents
Page content recommendation method and device and electronic equipment Download PDFInfo
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- CN111127053B CN111127053B CN201811276226.9A CN201811276226A CN111127053B CN 111127053 B CN111127053 B CN 111127053B CN 201811276226 A CN201811276226 A CN 201811276226A CN 111127053 B CN111127053 B CN 111127053B
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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: acquiring operation behavior information of a user on the content associated with the target resource bit in the process of browsing the page, and determining the interest degree of the user on the content associated with the target resource bit 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 guiding granularity corresponding to the edition where the target resource bit is located; determining contents to be recommended according to the contents associated with the target resource bit and the target granularity; and returning 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 position. Through this application embodiment, can realize more accurate reposition of redundant personnel.
Description
Technical Field
The present invention relates to the field of page content recommendation technologies, and in particular, to a page content recommendation method and apparatus, and an electronic device.
Background
In a network sales platform, large promotional campaigns within the platform are often held. The platform will then provide a specialized portal page for such promotional campaigns, commonly referred to as a main venue page. The main meeting place page is used as a main entrance of the activity, and centralized diversion can be realized. To achieve this, a main venue page is typically provided with a number of resource bits (pits) that can be used to present entries to a plurality of different venues. For example, in a home venue page of an activity, there may be multiple industry venue entrances for beauty, mother and infant, apparel, etc., each large industry may also have multiple industry venue entrances, etc.
For the main meeting place page, how to provide the information which meets the requirements of the user more accurately is the product target. For this reason, some schemes 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. That is, the main body frames of the main venue pages they see may be the same for different users, but the content of the particular presentation may not be the same. For example, for some female users, a meeting place entrance in the apparel, cosmetic, etc. industries may be shown in a relatively front resource location; for some male users, the meeting place entrance of the industries such as digital codes, mobile phones and the like can be displayed in the resource position relatively in front, and the like.
However, the "thousand people and thousands of people" are usually generated according to information such as a historical behavior record of the user, and in practical application, although the historical behavior record can reflect interests and hobbies of the user to a certain extent, interests generated in real time may be more important. That is, a person's historical behavioral record obviously cannot fully and accurately predict the actual needs of his current browsing, so that just "thousands of people and thousands of people" may still not be able to more accurately guide the current.
Therefore, how to conduct more accurate diversion through the main meeting place page becomes a technical problem that needs to be solved by those skilled in the art.
Disclosure of Invention
The application provides a page content recommending method, a page content recommending device and electronic equipment, and more accurate distribution can be achieved.
The application provides the following scheme:
a page content recommending method comprises the steps that a page comprises a plurality of sections with different diversion granularities, and the sections comprise a plurality of resource bits; the method comprises the following steps:
acquiring operation behavior information of a user on the content associated with the target resource bit in the process of browsing the page, and determining the interest degree of the user on the content associated with the target resource bit 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 guiding granularity corresponding to the edition where the target resource bit is located;
determining contents to be recommended according to the contents associated with the target resource bit and the target granularity;
and returning 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 position.
A page content recommending method comprises the steps that a page comprises a plurality of sections with different diversion granularities, and the sections comprise a plurality of resource bits; the method comprises the following steps:
acquiring operation behavior information of a user, which is executed 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 accords with a preset condition, determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the layout 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.
The page content recommending device comprises a plurality of sections with different diversion granularities, wherein the sections comprise a plurality of resource bits; the device comprises:
the user interest judging unit is used for obtaining operation behavior information of a user on the content associated with the target resource bit in the process of browsing the page, and determining the interest degree of the user on the content associated with the target resource bit according to the operation behavior information;
The recommended content granularity determining unit is used for determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the edition block where the target resource position is located if the interested degree meets the preset condition;
the recommended content determining unit is used for determining the content to be recommended according to the content associated with the target resource bit 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 displays the content to be recommended according to the position of the target resource position.
The page content recommending device comprises a plurality of sections with different diversion granularities, wherein each section comprises a plurality of resource bits; the device comprises:
the information acquisition unit is used for acquiring operation behavior information of a user on the content associated with the target resource position in the process of browsing the page, submitting the operation behavior information to a server so that the server can determine the interested degree of the user on the content associated with the target resource position, if the interested degree meets a preset condition, determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the layout 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;
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, the memory for storing program instructions that, when read for execution by the one or more processors, perform the operations of:
acquiring operation behavior information of a user, which is executed on content associated with a target resource position, in the process of browsing a 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 accords with a preset condition, determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the layout 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.
According to a specific embodiment provided by the application, the application discloses the following technical effects:
according to the embodiment of the invention, the real-time recommending function can be realized in a plurality of sections in the page, and when recommending is performed in each section, the granularity of the content to be recommended can be determined by considering the factor of the flow guiding granularity in the section. Such that the direction of recommendation may be "spread" from one merchandise object to a collection of merchandise objects such as a meeting place, or "furl" from a brand/store object to a particular merchandise object, etc., rather than recommending other merchandise objects based on one merchandise object at a time. In this way, more contents can be exposed more, and more accurate diversion can be realized.
Of course, not all of the above-described advantages need be achieved at the same time in practicing any one of the products 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 that are needed 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 that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
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;
FIGS. 3-1 to 3-3 are schematic diagrams illustrating a first content recommendation method according to embodiments of the present application;
FIGS. 4-1 to 4-3 are schematic diagrams illustrating a second content recommendation method according to embodiments of the present application;
FIGS. 5-1 and 5-2 are schematic diagrams illustrating a third content recommendation method according to embodiments of the present application;
FIG. 6 is a flow chart of a second method provided by an embodiment of the present application;
FIG. 7 is a schematic diagram of a first apparatus provided in an embodiment of the present application;
FIG. 8 is a schematic diagram of a second apparatus provided in 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 following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application are within the scope of the protection of the present application.
In implementing the present application, the present inventors have found that there is typically a "guess you like" layout in a daily scenario (i.e., a regular client top page, rather than a main meeting page of a large promotional campaign), where the detail page links in each resource location may be used to present specific merchandise objects that may be determined from merchandise objects that may be of interest to the user as determined from historical browsing, purchasing records, etc. of the user. In the prior art, the "guess you like" section has a real-time recommendation function. That is, during the process that the user browses the "guess you like" section, the behavior of the user during browsing can be collected, and then the commodity flow of "guess you like" can be directly interfered. For example, a user clicks a link to a commodity object, and then performs some operation, such as collection, shopping cart addition, evaluation, etc., in the detail page of the commodity object, whereby the user can be considered 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 first page, links of other commodity objects related or similar to the commodity object can be provided on the resource position where the links of the commodity object are located, and specific recommendation logic can be to recommend other commodity objects which are browsed by other users who browse the commodity object. Therefore, the interest points of the user can be found in real time according to the behavior of the user in the actual page browsing process, and the commodities possibly interested by the user are recommended in real time, so that the recommended result meets the requirements of the user.
If the scheme is applied to the active main meeting place page of a large-scale sales promotion, the main meeting place page can have a real-time recommending function so as to realize more accurate diversion. However, the above solution is equivalent to responding to the user's behavior in a fixed layout, while in the event of a home page, there are usually other layout besides the above "guess you like" layout, including layout for presenting the links of the entries of the respective branch, and possibly layout for presenting the links of pages of some known brands, shops, etc., etc. That is, the "guess you like" section may be only a part of the page of the active main meeting place, so the user does not have to go to the "guess you like" section to browse, so the content triggering rate of these high-efficiency real-time recommendations is very random, and the user's future behavior is completely dependent on whether to look at the "guess you like" section. In addition, the real-time recommending function in the prior art mainly recommends on the granularity of the commodity objects, and for the page of the active main meeting place, an important purpose of the real-time recommending function is to shunt each branch meeting place and shunt the access flow of the user from the centralized main meeting place to each branch meeting place, so that the real-time recommending function is only performed on the granularity of the commodity objects, and obviously cannot achieve the purpose.
For this reason, the embodiment of the application improves on the existing real-time recommendation function. In the improved scheme, a plurality of different sections are usually provided for a main meeting place page, and the different sections are used for guiding flow on different flow guiding granularity, so that real-time recommendation can be performed in the sections with different flow guiding granularity, and the granularity of the specifically recommended content can be determined according to the granularity of the section where the user actually performs operation.
The guiding method 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 certain user clicks a link of a certain resource bit when accessing the main meeting place page, the guiding method is equivalent to guiding the user flow to the page corresponding to the link. The second layer means that pages pointed by different resource bits after being guided in the same main meeting place page have different granularity. 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, wherein the information may include pictures, text introduction, evaluation information and the like of the specific commodity object, and the diversion granularity is the granularity of the commodity object. If a resource location shows a link to a brand/store, that is, the detail page corresponding to the link is information aggregation performed by a brand/store unit, where information of multiple commodity objects in the brand or store is typically included. Such 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 site shows a link of a branch venue, that is, the detail page corresponding to the link is information aggregation performed by a unit of the branch venue, information of a plurality of brands/store objects and/or a plurality of commodity objects in the branch venue will be generally included. Such diversion granularity may be referred to as a branch venue granularity, and the granularity is generally larger than the brand/store granularity and the commodity object granularity. That is, it can be generally classified into the following types from large to small in granularity: meeting place granularity, brand/store granularity, merchandise object granularity, and so forth. In the main meeting place page, the resource positions can be classified according to the flow guiding granularity to form a plurality of different sections, such as a branch meeting place section, a brand/store section and a commodity object section. For a meeting place, the division is usually performed according to industries and the like, a plurality of brands/shops may be included in the same industry, a plurality of specific commodity objects are included under a specific brand/shop, when the diversion is performed according to the granularity, user flow can be conducted to a page of the specific meeting place, and a user can obtain specific information of the plurality of commodity objects and even the plurality of brand/shop objects through the page. Accordingly, the accuracy of the targets is typically low for users clicking on such resource bits, e.g., there may be no clear intent for a particular brand/store, etc., and a particular merchandise object is less clear. The brand/store granularity will typically be less than the branch granularity, and the corresponding page in a particular brand or store will include only information about the current active merchandise object in that brand or store. Users who click on such resource locations may be targeted relatively explicitly, perhaps with a high awareness or acceptance of a particular brand/store, relative to users who click on the branch resource locations. The granularity of the commodity object only represents one specific commodity object, and when the diversion is carried out according to the granularity, the user can be directly guided to the detail page of the specific commodity object. The granularity is the finest, and correspondingly, the target representing the user is more definite.
When the real-time recommendation is performed in the sections with different granularities, the granularity of the specific content to be recommended can be the same as or different from the current section. For example, when making a recommendation in a block of merchandise object granularity (e.g., a "guess you like" block), the granularity of the content to be recommended may be a branch, and when making a recommendation in a block of brand/store granularity, the granularity of the content to be recommended may be merchandise object within a particular brand/store. The former may achieve a larger granularity of "spread" of traffic from a particular merchandise object to a meeting place, and the latter may achieve a smaller granularity of "collapse" from a brand/store to a particular merchandise object. That is, the real-time recommendation can be performed according to the specific granularity condition of the actual layout, so that the recommendation process is not uniformly "spread", and in the layout such as brands/stores, the user may have a certain knowledge or acceptance degree on the brands/stores, and the user does not need to spread to other brands/stores or even other meeting places, so that the recommendation can be performed more accurately. In addition, when real-time recommendation is performed in the meeting place layout, other specific meeting places can be recommended, so that the meeting place meeting the user requirement can be exposed to the current user more limitedly, and the like.
That is, in the embodiment of the present application, real-time recommendation can be implemented in multiple sections of the active main meeting place page with different diversion granularities, and the granularity of the recommended content can be determined according to the diversion granularity of the current section, so as to implement a more flexible recommendation scheme.
In a specific implementation, from a system architecture perspective, as shown in fig. 1, the embodiment of the present application may include a background server and a foreground client, where the server is mainly used for providing various specific resources and data, analyzing user behaviors, generating recommended content, and so on, and the client is mainly used for presenting a front-end page, that is, displaying a specific page and content recommended in real time in the page according to page data provided by the server. The client may specifically be an independent application program (App) running in the mobile terminal device, or may be a web page that is displayed based on a browser in the terminal device, and the like, which is not limited herein.
Specific embodiments provided in the embodiments of the present application are described in detail below.
Example 1
Firstly, from the perspective of a server, the embodiment provides a page content recommendation method, wherein the page can be specifically an active main meeting place page or the like, specifically, the page comprises a plurality of sections with different diversion granularities, and the sections comprise a plurality of resource bits; referring to fig. 2, the method includes:
s201: acquiring operation behavior information of a user on content associated with a target resource position 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;
when the method is specifically implemented, specific operation behavior information of a user in the page browsing process can be recorded by the client and submitted to the server, so that the server can acquire the operation behavior information of the user, which is specifically executed on the content associated with the target resource bit in the page, according to the information submitted by the client. E.g., whether a click view operation has been performed on content associated with a target resource bit, which operational actions have been performed in a particular content detail page if a click view has been performed, etc. These operational behaviors can be used to determine where the user is currently at a real-time point of interest. For example, if a user clicks one of the resource positions in the process of browsing a main meeting place page, in which a link of a certain branch meeting place page is displayed, after entering the branch meeting place page, the user further clicks to view some specific information in the branch meeting place, for example, view pages of certain specific brands/stores, or view detailed pages of a specific commodity object in the branch meeting place, etc., then the user proves that the branch meeting place may be interested in comparison. If a user clicks a branch meeting place link, but only the user browses the branch meeting place page quickly, and does not further execute specific click viewing and other operations, the user returns to the main meeting place page, and the user is proved to have little interest in the branch meeting place. In addition, if a user browses a section of the division granularity in the main conference site page quickly without performing specific click viewing and other operations on any division links, the user is proved to be likely to be uninteresting to each currently displayed division, and the like. The interested degree of the user on the specific page content can be judged in a similar way for other granular layout content.
S202: if the interest degree meets the preset condition, determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the edition where the target resource bit is located;
after determining the interest degree of the user on the content associated with a specific target resource position, if a certain 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 guiding granularity corresponding to the layout where the target resource position is located. That is, when a user finds that the user is interested in or not interested in the content of a certain target resource bit, the content to be recommended is not directly generated, but the flow guiding granularity information corresponding to the layout block to which the target resource bit belongs is first determined, and then, according to the information, the specific granularity content to be recommended is determined.
For example, if the flow guiding granularity of the layout block where the target resource position is located is the granularity of the commodity object, the target granularity of the content to be recommended may be determined as an active meeting place. As shown in fig. 3-1, a section "guessing you like" is currently displayed in the main meeting place page, wherein the specific content displayed is some commodity object flows, that is, the flow guiding granularity of the section is the commodity object granularity. Suppose a user clicks on a merchandise object link within the target resource bit shown therein at 301 to enter the merchandise object detail information page shown in fig. 3-2. Operations are subsequently performed in the detail information page indicating that the user is interested in the merchandise object. Then, after the user returns to the main meeting place page through the "return" operation option at 3-2, as shown at 303 in fig. 3-3, links to some of the meeting places may be presented at the target resource location that was previously operated. That is, when the user operates the information of the granularity of the commodity objects, the real-time recommended objects can be the information of the granularity of the branch meeting place, 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 can be determined as the commodity object granularity. For example, as shown in FIG. 4-1, assume that links to brands/store releases are currently presented in the Main conference page, i.e., links to brands, store objects are presented in the respective resource slots. At this point, assuming the user clicked on the brand link shown at 401 therein, the brand detail page shown in FIG. 4-2 may be entered. The user may then perform some action in the page, for example, may have viewed a detailed page of a particular merchandise object therein, etc., thereby proving the user's interest in the brand. Thereafter, after the user clicks on the "return" operation option shown at 402 to return to the main meeting place page, links to some specific merchandise objects associated with the brand may be presented, as shown at 403 in FIGS. 4-3. That is, if the user is interested in the content at the brand/store object granularity, it is not suitable to be diffused any more particularly when the real-time recommendation is made, and therefore, the content at the branch office granularity or other brand/store granularity is not recommended any more, but the content recommendation at the commodity object granularity is made directly within the brand/store object.
And if the flow guiding granularity of the edition block where the target resource position is located is the active meeting place granularity, determining the target granularity of the content to be recommended as the active meeting place granularity. For example, as shown at 501 in FIG. 5-1, assume that a branch venue layout is currently presented in a main venue page, where each resource location presents a plurality of branch venue entry links. At this time, assuming that the user clicks on one of the branch venue links and performs some operations in the branch venue page, after returning to the main venue page, as shown at 502 in fig. 5-2, some recommendations of other branch venues similar to the previously viewed branch venue may be provided. Or if the user browses the section of the branch venue with a relatively high page sliding speed and does not click any of the links of the branch venue, the user is proved to be possibly uninteresting to the branch venue, and at this time, information of some other branch venue can be recommended in real time at the position shown as 502 in fig. 5-2 in the page sliding process, specifically, information of a branch venue different from each of the browsed branch venue, and the like.
It should be noted that, the movable meeting place in the embodiment of the present application may specifically include meeting places opened by multiple dimensions, for example, the movable meeting place may be divided into multiple meeting places according to different industries, and each industry meeting place may be further divided into meeting places in multiple industries; or, a plurality of meeting places can be created according to the list of various ranking lists; alternatively, multiple meeting places may also be created by scenes or tags, etc. (e.g., a necessity for going out, a necessity for exercise, etc.), etc.
S203: determining contents to be recommended according to the contents associated with the target resource bit 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 bit and the target granularity. For example, in the case of recommending a branch meeting place by a commodity object, in particular, since a branch meeting place is usually associated with a commodity object set, in particular, when determining the content to be recommended, the similarity between the commodity object associated with the target resource location and the commodity object set associated with each movable branch meeting place may be determined first, and the movable branch meeting place to be recommended may be determined according to the similarity.
Alternatively, in the case where one item object information is recommended by one brand/store object, the item object to be recommended may be determined from a set of item objects associated with the brand/store associated with the target resource location. For example, one or more merchandise objects with highest heat may be selected from a set of merchandise objects associated with a brand/store for recommendation, and so on.
Or, in the case that other meeting place contents are recommended by one or more meeting places, determining the target activity meeting place with the similarity between commodity object sets associated with the activity meeting place corresponding to the target resource position meeting the preset condition. For example, it may specifically be a first threshold of high Yu Mou similarity between the set of merchandise objects associated with the active part corresponding to the target resource location (corresponding to the case where the user is interested in a certain active part), or a part below a second threshold (corresponding to the case where the user is not interested in each part shown in the part layout of the part), and so on.
S204: and returning 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 position.
After determining the specific content to be recommended, the content to be recommended can be returned to the client, and accordingly, the client can display the content to be recommended according to the position of the target resource position. According to the different collected user operation behavior information, the specific time for returning the content to be recommended can be various. For example, if the collected operation behavior information of the user performed on the content associated with the target resource bit is a click-to-view operation behavior performed on the content associated with the target resource bit, and related operation behavior information performed in a content detail page associated with the target resource bit; after the content detail page associated with the target resource position is returned 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 of the user on the content of the target resource position, the content to be recommended can be returned to the client in 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, the client may have various specific implementations, for example, as shown in fig. 3-3, a floating layer may be created at the location of the target resource location, 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 location of the target resource bit, and the content to be recommended may be displayed in the inserted new resource bit.
In summary, through the embodiment of the application, the real-time recommendation function can be realized in a plurality of sections in the page, and when recommendation is performed in each section, the factors of the flow guiding granularity in the section can be considered, so that the flow guiding granularity of the content to be recommended can be determined. Such that the direction of recommendation may be "spread" from one merchandise object to a collection of merchandise objects such as a meeting place, or "furl" from a brand/store object to a particular merchandise object, etc., rather than recommending other merchandise objects based on one merchandise object at a time. In this way, more contents can be exposed more, and more accurate diversion can be realized.
Example two
The second embodiment corresponds to the first embodiment, and from the perspective of a client, a page content recommendation method is provided, wherein the page comprises a plurality of sections with different diversion granularities, and the sections comprise a plurality of resource bits; referring to fig. 6, the method may specifically include:
s601: acquiring operation behavior information of a user, which is executed 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 accords with a preset condition, determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the layout 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 can be created at the position of the target resource position, and the content to be recommended is displayed in the floating layer. Alternatively, a new resource bit may be inserted near the location of the target resource bit, and the content to be recommended may be displayed in the inserted new resource bit.
For details not described in the second embodiment, please refer to the description in the first embodiment, and the details are not repeated here.
Corresponding to the first embodiment, the embodiment of the application also provides a page content recommendation device, wherein the page comprises a plurality of sections with different diversion granularities, and the sections comprise a plurality of resource bits; referring to fig. 7, the apparatus may specifically include:
a user interest determining unit 701, configured to obtain operation behavior information of a user executed on a content associated with a target resource location during browsing the page, and determine, according to the operation behavior information, a degree of interest of the user on the content associated with the target resource location;
a recommended content granularity determining unit 702, configured to determine, if the degree of interest meets a preset condition, a target granularity of the content to be recommended according to a diversion granularity corresponding to the layout where the target resource bit is located;
a recommended content determining unit 703, configured to determine a content to be recommended according to the content associated with the target resource bit and the target granularity;
and a recommended content returning unit 704, configured to return the content to be recommended to a client, so that the client displays the content to be recommended according to the position of the target resource position.
In a specific implementation, the recommended diversion granularity determining unit may specifically be configured to: and if the flow guiding granularity of the edition block where the target resource position is located is the commodity object granularity, determining the target granularity of the content to be recommended as the activity meeting place granularity.
At this time, the recommended content determining unit may specifically be configured to determine a similarity between the commodity object associated with the target resource location and the commodity object set associated with each activity meeting place, and determine an activity meeting place to be recommended according to the similarity.
Alternatively, the recommended diversion granularity determining unit may specifically be configured to:
and if the flow guiding granularity of the edition block where the target resource position is located is brand/store object granularity, determining the target granularity of the content to be recommended as commodity object granularity.
At this time, the recommended content determining unit may be specifically used for,
and determining the commodity object to be recommended from the commodity object set associated with the shop associated with the target resource position.
Alternatively, the recommended diversion granularity determining unit may specifically be configured to:
and if the flow guiding granularity of the edition block where the target resource position is located is the active meeting place granularity, determining the target granularity of the content to be recommended as the active meeting place granularity.
At this time, the recommended content determining unit may be specifically used for,
and determining the target activity meeting place, wherein the similarity between the commodity object sets associated with the activity meeting place corresponding to the target resource position meets the preset condition.
Wherein the operation behavior information executed on the content associated with the target resource bit comprises: click-to-view operation behavior performed on the content associated with the target resource bit, and related operation behavior information performed in a content detail page associated with the target resource bit;
the content to be recommended return unit may specifically be configured to:
and returning the content to be recommended to the client after returning to the position of the target resource in the page from the content detail page associated with the target resource position, so that the client displays the content to be recommended according to the position of the target resource position.
Alternatively, the operation behavior information performed on the content associated with the target resource bit includes: a sliding browsing operation behavior performed on the content of the target resource bit;
at this time, the content to be recommended return unit may specifically be configured to:
and returning the content to be recommended to the client in the sliding browsing process, so that the client displays the content to be recommended according to the position of the target resource position.
Corresponding to the embodiment, the embodiment of the application also provides a page content recommendation device, wherein the page comprises a plurality of sections with different diversion granularities, and the sections comprise a plurality of resource bits; referring to fig. 8, the apparatus may specifically include:
the information collection unit 801 is configured to collect operation behavior information of a user executed on a content associated with a target resource location in a process of browsing the page, and submit the operation behavior information to a server, so that the server determines an interest degree of the user on the content associated with the target resource location, and if the interest degree meets a preset condition, determine a target granularity of a content to be recommended according to a flow guiding granularity corresponding to a layout where the target resource location is located, and determine the content to be recommended according to the content associated with the target resource location and the target granularity;
a recommended content receiving unit 802, configured to receive content to be recommended returned by the server;
and the recommended content display unit 803 is configured to display the content to be recommended according to the position of the target resource position.
In a specific implementation, the recommended content display unit may specifically be configured to create a floating layer at a location where the target resource bit is located, and display the content to be recommended in the floating layer.
Or in another implementation manner, the recommended content display unit may be further configured to insert a new resource bit near the location where the target resource bit is located, and display the content to be recommended in the inserted new resource bit.
In addition, corresponding to the second embodiment, the embodiment of the present application further provides an electronic device, including:
one or more processors; and
a memory associated with the one or more processors, the memory for storing program instructions that, when read for execution by the one or more processors, perform the operations of:
acquiring operation behavior information of a user, which is executed on content associated with a target resource position, in the process of browsing a 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 accords with a preset condition, determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the layout 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.
Fig. 9, among other things, illustrates an architecture of an electronic device, for example, 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, an exercise device, a personal digital assistant, an aircraft, and so forth.
Referring to fig. 9, device 900 may include one or more of the following components: a processing component 902, a memory 904, a power component 906, a multimedia component 908, an audio component 910, an input/output (I/O) interface 912, a sensor component 914, and a communication component 916.
The processing component 902 generally controls overall operation of the device 900, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 902 may include one or more processors 920 to execute instructions to complete a flow compression request when a preset condition is met in the video playing method provided by the technical scheme of the present disclosure, and send the flow compression request to a server, where information for triggering the server to obtain a target attention area is recorded in the flow compression request, and the flow compression request is used to request the server to preferentially ensure a code rate 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 the server performing code rate compression processing on the video content outside the target attention area according to the flow compression request. Further, the processing component 902 can include one or more modules that facilitate interaction between the 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 operations 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 the like. The memory 904 may be implemented by any type of volatile or nonvolatile memory device or combination thereof, 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 disk.
The power supply component 906 provides power to the various components of the device 900. Power supply components 906 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for device 900.
The multimedia component 908 comprises a screen between the device 900 and the user that provides an output interface. 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 input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or sliding action, but also the duration and pressure associated with the touch or sliding 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 operational 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 focal length and optical zoom capabilities.
The audio component 910 is configured to output and/or input audio signals. For example, the audio component 910 includes a Microphone (MIC) configured to receive external audio signals when the 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 be further stored in the memory 904 or transmitted via the communication component 916. In some embodiments, the audio component 910 further includes a speaker for outputting audio signals.
The I/O interface 912 provides an interface between the processing component 902 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.
The sensor assembly 914 includes one or more sensors for providing status assessment of various aspects of the device 900. For example, the sensor assembly 914 may detect the on/off state of the device 900, the relative positioning of the components, such as the display and keypad of the device 900, the sensor assembly 914 may also detect the change in position of the device 900 or one component of the device 900, the presence or absence of user contact with the device 900, the orientation or acceleration/deceleration of the device 900, and the change in temperature of the device 900. The sensor assembly 914 may include a proximity sensor configured to detect the presence of nearby objects without 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 gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 916 is configured to facilitate communication between the device 900 and other devices, either wired or wireless. The device 900 may access a wireless network based on a communication standard, such as WiFi,2G, or 3G, or a combination thereof. In one exemplary embodiment, the communication component 916 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication 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 apparatus 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, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.
In an exemplary embodiment, there is further provided a non-transitory computer readable storage medium including instructions, for example, a memory 904 including instructions, where the instructions are executable by a processor 920 of the apparatus 900 to complete a method for video playing provided in the technical solution of the present disclosure, when a preset condition is met, generate a traffic compression request, and send the traffic compression request to a server, where information for triggering the server to obtain a target attention area is recorded in the traffic compression request, and the traffic compression request is used to request the server to preferentially guarantee a code rate of video content in the target attention area; and playing video contents corresponding to the code stream file according to the code stream file returned by the server, wherein the code stream file is a video file obtained by the server performing code rate compression processing on the video contents outside the target attention area according to the flow compression request. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general purpose hardware platform. Based on such understanding, the technical solutions of the present application may be embodied essentially or in a part contributing to the prior art 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., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in the embodiments or some parts of the embodiments of the present application.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a system or system embodiment, since it is substantially similar to a method embodiment, the description is relatively simple, with reference to the description of the method embodiment being made in part. The systems and system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
The above detailed description of the page content recommendation method, device and electronic equipment provided by the present application applies specific examples to illustrate the principles and embodiments of the present application, and the above description of the examples is only used to help understand the method and core ideas of the present application; also, as will occur to those of ordinary skill in the art, many modifications are possible in view of the teachings of the present application, both in the detailed description and the scope of its applications. In view of the foregoing, this description should not be construed as limiting the application.
Claims (15)
1. The page content recommendation method is characterized in that a page comprises a plurality of sections with different diversion granularities, the sections comprise a plurality of resource bits, the pages pointed by the diversion of the different resource bits have different granularities, and the granularities are determined according to an information aggregation unit of the page; the method comprises the following steps:
acquiring operation behavior information of a user on the content associated with the target resource bit in the process of browsing the page, and determining the interest degree of the user on the content associated with the target resource bit 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 guiding granularity corresponding to the edition where the target resource bit is located;
determining contents to be recommended according to the contents associated with the target resource bit and the target granularity;
and returning 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 position.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the edition block where the target resource position is located comprises the following steps:
and if the flow guiding granularity of the edition block where the target resource position is located is the commodity object granularity, determining the target granularity of the content to be recommended as the activity meeting place granularity.
3. The method of claim 2, wherein the step of determining the position of the substrate comprises,
the determining the content to be recommended according to the content associated with the target resource bit and the target granularity comprises the following steps:
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, wherein the step of determining the position of the substrate comprises,
the determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the edition block where the target resource position is located comprises the following steps:
and if the flow guiding granularity of the edition block where the target resource position is located is brand/store object granularity, determining the target granularity of the content to be recommended as commodity object granularity.
5. The method of claim 4, wherein the step of determining the position of the first electrode is performed,
the determining the content to be recommended according to the content associated with the target resource bit and the target granularity comprises the following steps:
and determining the commodity object to be recommended from the commodity object set associated with the shop associated with the target resource position.
6. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the edition block where the target resource position is located comprises the following steps:
and if the flow guiding granularity of the edition block where the target resource position is located is the active meeting place granularity, determining the target granularity of the content to be recommended as the active meeting place granularity.
7. The method of claim 6, wherein the step of providing the first layer comprises,
The determining the content to be recommended according to the content associated with the target resource bit and the target granularity comprises the following steps:
and determining the target activity meeting place, wherein the similarity between the commodity object sets associated with the activity meeting place corresponding to the target resource position meets the preset condition.
8. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the operation behavior information of the content associated with the target resource bit comprises: click-to-view operation behavior performed on the content associated with the target resource bit, and related operation behavior information performed in a content detail page associated with the target resource bit;
the returning the content to be recommended to the client side comprises the following steps:
and returning the content to be recommended to the client after returning to the position of the target resource in the page from the content detail page associated with the target resource position, so that the client displays the content to be recommended according to the position of the target resource position.
9. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the operation behavior information of the content associated with the target resource bit comprises: a sliding browsing 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:
and returning the content to be recommended to the client in the sliding browsing process, so that the client displays the content to be recommended according to the position of the target resource position.
10. The page content recommendation method is characterized in that a page comprises a plurality of sections with different diversion granularities, the sections comprise a plurality of resource bits, the pages pointed by the diversion of the different resource bits have different granularities, and the granularities are determined according to an information aggregation unit of the page; the method comprises the following steps:
acquiring operation behavior information of a user, which is executed 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 accords with a preset condition, determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the layout 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.
11. The method of claim 10, wherein the step of determining the position of the first electrode is performed,
the displaying the content to be recommended according to the position of the target resource position comprises the following steps:
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, wherein the step of determining the position of the first electrode is performed,
the displaying the content to be recommended according to the position of the target resource position comprises the following steps:
inserting new resource bits near the positions of the target resource bits, and displaying the content to be recommended in the inserted new resource bits.
13. The page content recommending device is characterized in that a plurality of sections with different diversion granularities are included in the page, the sections comprise a plurality of resource bits, wherein the page pointed by the diversion of the different resource bits has different granularities, and the granularities are determined according to an information aggregation unit of the page; the device comprises:
The user interest judging unit is used for obtaining operation behavior information of a user on the content associated with the target resource bit in the process of browsing the page, and determining the interest degree of the user on the content associated with the target resource bit according to the operation behavior information;
the recommended content granularity determining unit is used for determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the edition block where the target resource position is located if the interested degree meets the preset condition;
the recommended content determining unit is used for determining the content to be recommended according to the content associated with the target resource bit 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 displays the content to be recommended according to the position of the target resource position.
14. The page content recommending device is characterized in that the page comprises a plurality of sections with different diversion granularities, each section comprises a plurality of resource bits, wherein the page pointed by the diversion of the different resource bits has different granularities, and the granularities are determined according to an information aggregation unit of the page; the device comprises:
The information acquisition unit is used for acquiring operation behavior information of a user on the content associated with the target resource position in the process of browsing the page, submitting the operation behavior information to a server so that the server can determine the interested degree of the user on the content associated with the target resource position, if the interested degree meets a preset condition, determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the layout 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;
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.
15. An electronic device, comprising:
one or more processors; and
a memory associated with the one or more processors, the memory for storing program instructions that, when read for execution by the one or more processors, perform the operations of:
acquiring operation behavior information of a user, which is executed on content associated with a target resource position, in the process of browsing a 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 accords with a preset condition, determining the target granularity of the content to be recommended according to the flow guiding granularity corresponding to the layout 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; the page pointed by the different resource bits after being guided has different granularity, and the granularity is determined according to the information aggregation unit of the page;
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.
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| CN114329187B (en) * | 2021-12-08 | 2023-01-24 | 北京五八信息技术有限公司 | Recommendation method and device of content object, electronic equipment and readable medium |
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