CN115577178A - Portal page recommendation method, device, equipment and medium - Google Patents
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Abstract
The embodiment of the specification discloses a portal page recommendation method, a portal page recommendation device, portal page recommendation equipment and a portal page recommendation medium, wherein the portal page recommendation method comprises the following steps: when a designated user enters a portal page, determining an associated label corresponding to the designated user and a weight value corresponding to the associated label; according to the association tag, inquiring recommended content containing the association tag in the portal page; determining a recommended value of the recommended content according to the weight value of the associated tag; and recommending to the specified user according to the recommended value of the recommended content.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a medium for recommending a portal page.
Background
In current manufacturers who make internal portals of enterprises, how to realize the presentation of portal contents is mostly faced, for example, people related to human resources of enterprises may pay more attention to various dynamics of employees of enterprises, financial professionals may pay more attention to daily income and expenditure conditions, and the like.
The existing portal products of manufacturers mostly create different portal pages aiming at different roles to realize different content push, and the method has two problems: firstly, although the degree of freedom is higher for setting separate portal pages for different roles or people, the operation complexity is also higher, and the number of pages to be configured in implementation is too many; secondly, when one person has a plurality of roles, the user needs to switch the portal pages corresponding to different roles to see the contents desired to be seen by each role, and the user experience is not good.
Disclosure of Invention
One or more embodiments of the present specification provide a method, an apparatus, a device, and a medium for recommending portal pages, which are used to solve the technical problems in the background art.
One or more embodiments of the present disclosure adopt the following technical solutions:
one or more embodiments of the present specification provide a method for recommending a portal page, including:
when a designated user enters a portal page, determining an associated label corresponding to the designated user and a weight value corresponding to the associated label;
according to the association tag, inquiring recommended content containing the association tag in the portal page;
determining a recommended value of the recommended content according to the weight value of the associated tag;
and recommending to the specified user according to the recommended value of the recommended content.
Further, before the user is designated to make a portal page, the method further includes:
acquiring the related behavior of the specified user, and setting a corresponding content tag for the content of the portal page;
the determining the associated tag corresponding to the specified user specifically includes:
when the appointed user triggers the related behavior on the portal page, determining the triggering content corresponding to the related behavior;
and determining a first content tag corresponding to the trigger content, and marking the first content tag as the associated tag.
Further, determining a weight value corresponding to the associated tag specifically includes:
and determining a weight value corresponding to the associated label according to the weight preset by the related behavior and the weight preset by the associated label.
Further, the determining a recommendation value of the recommended content according to the weight value of the associated tag specifically includes:
determining the relevance of the associated tag in the recommended content;
and determining a recommendation value of the recommended content according to the relevance of the associated label and the weight value of the associated label.
Further, after determining the recommended value of the recommended content according to the weight value of the associated tag, the method further includes:
and if the fact that the recommended content is related to the position of the specified user is determined, increasing a preset value for the recommended value of the recommended content.
Further, the method further comprises:
determining preset keywords of the appointed user;
when a designated user enters a portal page, determining specific content containing the keywords, and setting a preset recommendation value for the specific content;
the recommending to the specified user according to the recommended value of the recommended content specifically includes:
and recommending to the specified user according to the recommended value of the recommended content and the preset recommended value of the specific content.
Further, the related behavior includes one or more of browsing, sharing and collecting.
One or more embodiments of the present specification provide an apparatus for recommending portal pages, the apparatus including:
the system comprises a tag determining unit, a judging unit and a judging unit, wherein the tag determining unit is used for determining an associated tag corresponding to a specified user and a weight value corresponding to the associated tag when the specified user enters a portal page;
a recommended content query unit for querying the recommended content containing the association tag in the portal page according to the association tag;
a recommended value determining unit which determines a recommended value of the recommended content according to the weight value of the associated tag;
and the recommending unit recommends to the specified user according to the recommended value of the recommended content.
One or more embodiments of the present specification provide a portal page recommendation device, including:
at least one processor; and (c) a second step of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to cause the at least one processor to:
when a designated user enters a portal page, determining an associated label corresponding to the designated user and a weight value corresponding to the associated label;
according to the association tag, inquiring recommended content containing the association tag in the portal page;
determining a recommendation value of the recommended content according to the weight value of the associated tag;
and recommending to the specified user according to the recommended value of the recommended content.
One or more embodiments of the present specification provide a non-transitory computer storage medium storing computer-executable instructions configured to:
when a designated user enters a portal page, determining an associated label corresponding to the designated user and a weight value corresponding to the associated label;
according to the association tag, inquiring recommended content containing the association tag in the portal page;
determining a recommended value of the recommended content according to the weight value of the associated tag;
and recommending to the specified user according to the recommended value of the recommended content.
The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:
in the embodiment of the description, the recommendation degree of the content of the portal page is calculated by the recommendation method of the portal page, so that the recommendation degree can be accurate, and accurate pushing is realized to the greatest extent. Meanwhile, the embodiment of the specification can set different recommendation degrees for each content for each person, and then when each person accesses the portal page, the display is performed from high to low according to the recommendation degrees, so that the accuracy and precision of content recommendation are realized.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the description below are only some embodiments described in the present specification, and for those skilled in the art, other drawings may be obtained according to these drawings without creative efforts. In the drawings:
fig. 1 is a flowchart illustrating a method for recommending a portal page according to one or more embodiments of the present disclosure;
fig. 2 is a schematic structural diagram of a recommendation device for portal pages according to one or more embodiments of the present disclosure;
fig. 3 is a schematic structural diagram of a recommendation device for portal pages according to one or more embodiments of the present disclosure.
Detailed Description
The embodiment of the specification provides a portal page recommendation method, device, equipment and medium.
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present specification without any creative effort shall fall within the protection scope of the present specification.
Fig. 1 is a schematic flowchart of a method for recommending a portal page according to one or more embodiments of the present disclosure, where the flowchart may be executed by a recommendation system of a portal page. Certain input parameters or intermediate results in the flow allow for manual intervention adjustments to help improve accuracy.
The method of the embodiment of the specification comprises the following steps:
s102, when a designated user enters a portal page, determining a corresponding associated label of the designated user and a weight value corresponding to the associated label.
In this embodiment of the present specification, before the specified user enters the portal page, the relevant data of the specified user may be collected, and according to the relevant data of the specified user, the corresponding content may be subsequently recommended to the specified user. The associated tag and the weight value corresponding to the associated tag may be determined according to the specified user related data.
In this embodiment of the present specification, before a designated user performs a portal page, obtaining a relevant behavior of the designated user, and determining an associated tag corresponding to the designated user may specifically be: when the appointed user triggers the related behavior on the portal page, determining the triggering content corresponding to the related behavior; and determining a first content tag corresponding to the trigger content, and marking the first content tag as the associated tag. For example, a specified user browses or forwards related content; corresponding content tags can also be set for the content of the portal page, for example, content a of the portal page can be set with content tags a and b. The associated tag may be a tag included in related content browsed or forwarded by the specified user, for example, content B browsed before the specified user enters the portal page, where the content B includes a tag B, and the tag B is an associated tag corresponding to the specified user.
In this embodiment of the present specification, determining a weight value corresponding to the associated tag may specifically be: determining the weight value corresponding to the associated tag according to the preset weight of the associated behavior and the preset weight of the associated tag, that is, multiplying the preset weight of the associated behavior and the preset weight of the associated tag to obtain the weight value corresponding to the associated tag, for example, the associated behavior includes browsing and forwarding, the browsing weight is 5, the forwarding weight is 10, the associated tag includes a keyword and classification information, the keyword weight is 20, the classification weight is 5, if the content C has a keyword C1 and a classification C2, and the user is specified to browse the content C, the weight value of C1 is 5 × 20=100, and the weight value of C2 is 5 × 5=25.
It should be noted that, in the embodiment of the present specification, the related behavior includes one or more of browsing, sharing, and collecting.
S104, according to the association tag, inquiring the recommended content containing the association tag in the portal page.
In this embodiment, the content in the portal page may be updated content, or may include content that a user is specified to have browsed or forwarded. When the portal page is queried, the tags of the contents in the portal page may be queried based on the associated tags, and the contents including the associated tags may be set as the contents recommended to the specified user (recommended contents).
S106, determining a recommendation value of the recommended content according to the weight value of the associated label.
In this embodiment of the present specification, when the associated tag of the recommended content includes a plurality of tags, the recommendation value of the recommended content may be determined in an accumulation manner, that is, the weight values of the plurality of associated tags may be added to determine the recommendation value of the recommended content.
In this embodiment of the present specification, when determining the recommendation value of the recommended content according to the weight value of the associated tag, the relevance of the associated tag in the recommended content may also be determined, where the relevance may be the number of times that the same associated tag appears in the same recommended content, so as to determine the relevance of the associated tag; and finally, determining a recommendation value of the recommended content according to the relevance of the associated label and the weight value of the associated label.
In an embodiment of the present specification, after determining a recommendation value of the recommended content according to the weight value of the associated tag, if it is determined that the recommended content is associated with a position to which the specified user belongs, the recommendation value of the recommended content is increased by a preset value.
And S108, recommending to the specified user according to the recommended value of the recommended content.
In the embodiments of the present specification, the recommendation values of the recommended contents may be sorted, so as to recommend to a specified user.
In the embodiment of the present specification, in order to implement personalized recommendation of a specified user, a keyword preset by the specified user may be determined, where the keyword may be a keyword set by the specified user and is of interest to the specified user; when an appointed user enters a portal page, determining specific content containing the keywords, and setting a preset recommendation value for the specific content, wherein the preset recommendation value can be set to be 100 according to the number of times of occurrence of the preset keywords of the appointed user, for example, 1 time of occurrence of the preset keywords of the appointed user in the same content, and 2 times of occurrence of the preset keywords of the appointed user can be set to be 120.
In this embodiment of the present specification, when recommending to the specified user according to the recommended value of the recommended content, recommending to the specified user may be performed according to the recommended value of the recommended content and the preset recommended value of the specific content.
It should be noted that, in the embodiments of the present specification, the recommendation degree of the content of the portal page is calculated by using a recommendation method for the portal page, so that the precision of the recommendation degree can be realized, and thus, the precision push is realized to the greatest extent. Meanwhile, the recommendation degree of each content can be set for each person, and then each person can display the content according to the recommendation degree from high to low when accessing the portal page, so that the accuracy and precision of content recommendation are realized.
It should be noted that, in the embodiments of the present specification, there are the following large dimensions for the measure of content recommendation degree:
1. role/position situation of user in enterprise (portal system)
2. Content that different roles/posts must pay attention to according to enterprise regulations
3. Personal daily browsing collection content feature extraction
4. Personal explicit preferences
The system architecture of the embodiments of the present specification may include: the system comprises a portal application module, a content management module and a full-text search engine. The portal application module can be responsible for presenting the content and collecting behaviors of browsing, sharing, collecting and the like of the user; the content management module can be responsible for editing, publishing and storing the content and simultaneously can be responsible for inputting key information which must be known by enterprises; the full text search engine may be responsible for creating content indexes, content retrieval. In the embodiment of the present specification, the system provides a unified portal page, and the page includes one or more intelligent recommendation blocks besides the conventional content presentation blocks, and the content displayed in the intelligent recommendation block is the content pushed according to the content recommendation degree sorting in the embodiment of the present specification.
In the portal application module in the embodiment of the present specification, behaviors such as user browsing, sharing, collecting and the like can be collected in a front-end point burying manner, and meanwhile, keywords which are interested in user selection can be provided on a setting page. The content management module sets content keywords, abstracts and classification information aiming at each content when the content is released, and simultaneously sets the business organization, the associated position and whether the content belongs to the content which needs to be concerned by a certain role/position required by an enterprise. In the embodiment of the present disclosure, the browsing content weight may be 5, the sharing weight may be 10, and the collection weight may be 20; the keyword weight may be 20, the summary weight may be 10, and the classification weight may be 5; the product of the weight of the behavior and the weight of the content is a final weight value; the weight of the user post/role may be 50; if the content that must be paid attention to is the highest weight, there is a vote weight. For example, content C1 has keyword W1, with summary A1, category CA1; if the user U1 browses C1, the weight of W1 is 5 × 20=100, the weight of A1 is 5 × 10=50, the weight of ca1 is 5 × 5=25; the system accumulates and stores the weights of the keywords, the abstract and the classification aiming at the user.
When a user U1 opens a portal home page, the system acquires weights of each keyword, abstract and classification aiming at the user, and respectively acquires a full text search engine related to the keyword, the abstract and the classification according to the weight sequence to carry out query, then a score field (the above-mentioned correlation) in a query result is multiplied by the weight of each word to form the recommendation degree R of the content aiming at the query condition, the recommendation degrees of the query conditions are added to form the recommendation degree of the content, the query can be calculated through full text search of an ES (electronic search) search learning scoring algorithm, and score can be generated aiming at each associated label when the ES searches; if a piece of content C2 contains both the keyword W1 and the abstract A1, the score of C2 is 1.5 by the query W1, and the score of C2 is 2.1 by the query A1, the recommendation degree of C2 is: 100 (weight of W1) × 1.5+50 (weight of A1) × 2.1=255; if the position allocated by C2 is exactly the position of U1 at the same time, the total C2 recommendation degree may be 255+50=305; the recommendation level may be 999999 if the content is content that the enterprise has specified must browse. And sequencing according to the recommendation degree of each content obtained by the operation, namely sequencing the recommended contents of the system.
It should be noted that, by the above manner, the problem that the user needs to customize the respective portal page can be solved, and the user is helped to focus on the content related to or more interested in his work.
Fig. 2 is a schematic structural diagram of an apparatus for recommending portal pages according to one or more embodiments of the present disclosure, where the apparatus includes: a tag determination unit 202, a recommended content query unit 204, a recommendation value determination unit 206, and a recommendation unit 208.
A tag determining unit 202, configured to determine, when a specified user enters a portal page, an associated tag corresponding to the specified user and a weight value corresponding to the associated tag;
a recommended content query unit 204, configured to query, according to the association tag, recommended content including the association tag in the portal page;
a recommendation value determination unit 206, configured to determine a recommendation value of the recommended content according to the weight value of the associated tag;
and the recommending unit 208 recommends to the specified user according to the recommended value of the recommended content.
Fig. 3 is a schematic structural diagram of a recommendation device for a portal page according to one or more embodiments of the present specification, including:
at least one processor; and (c) a second step of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
when a designated user enters a portal page, determining an associated label corresponding to the designated user and a weight value corresponding to the associated label;
according to the association tag, inquiring recommended content containing the association tag in the portal page;
determining a recommended value of the recommended content according to the weight value of the associated tag;
and recommending to the specified user according to the recommended value of the recommended content.
One or more embodiments of the present specification provide a non-transitory computer storage medium storing computer-executable instructions configured to:
when a designated user enters a portal page, determining an associated label corresponding to the designated user and a weight value corresponding to the associated label;
according to the association tag, inquiring recommended content containing the association tag in the portal page;
determining a recommended value of the recommended content according to the weight value of the associated tag;
and recommending to the specified user according to the recommended value of the recommended content.
All 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 other embodiments. In particular, for the embodiments of the apparatus, the device, and the nonvolatile computer storage medium, since they are substantially similar to the embodiments of the method, the description is simple, and for the relevant points, reference may be made to the partial description of the embodiments of the method.
The foregoing description of specific embodiments has been presented for purposes of illustration and description. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The above description is intended to represent one or more embodiments of the present disclosure, and should not be taken to be limiting of the present disclosure. Various modifications and alterations to one or more embodiments of the present description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of one or more embodiments of the present specification should be included in the scope of the claims of the present specification.
Claims (10)
1. A recommendation method for portal pages is characterized by comprising the following steps:
when a designated user enters a portal page, determining an associated label corresponding to the designated user and a weight value corresponding to the associated label;
according to the association tag, inquiring recommended content containing the association tag in the portal page;
determining a recommended value of the recommended content according to the weight value of the associated tag;
and recommending to the specified user according to the recommended value of the recommended content.
2. The method of claim 1, wherein before the designated user makes the portal page, the method further comprises:
acquiring the related behavior of the specified user, and setting a corresponding content tag for the content of the portal page;
the determining the associated tag corresponding to the specified user specifically includes:
when the specified user triggers the related behaviors on the portal page, determining the triggering contents corresponding to the related behaviors;
and determining a first content tag corresponding to the trigger content, and marking the first content tag as the associated tag.
3. The method according to claim 2, wherein determining the weight value corresponding to the associated tag specifically includes:
and determining a weight value corresponding to the associated label according to the preset weight of the related behavior and the preset weight of the associated label.
4. The method according to claim 1, wherein the determining the recommendation value of the recommended content according to the weight value of the associated tag specifically includes:
determining the relevance of the associated tag in the recommended content;
and determining a recommendation value of the recommended content according to the relevance of the associated label and the weight value of the associated label.
5. The method according to claim 1, wherein after determining the recommendation value of the recommended content according to the weight value of the associated tag, the method further comprises:
and if the fact that the recommended content is related to the position of the specified user is determined, increasing a preset value for the recommended value of the recommended content.
6. The method of claim 1, further comprising:
determining preset keywords of the appointed user;
when a designated user enters a portal page, determining specific content containing the keywords, and setting a preset recommendation value for the specific content;
the recommending to the specified user according to the recommended value of the recommended content specifically includes:
and recommending to the specified user according to the recommended value of the recommended content and the preset recommended value of the specific content.
7. The method of claim 2, wherein the related behavior comprises one or more of browsing, sharing, and favorites.
8. An apparatus for recommending portal pages, the apparatus comprising:
the system comprises a tag determining unit, a judging unit and a judging unit, wherein the tag determining unit is used for determining an associated tag corresponding to a specified user and a weight value corresponding to the associated tag when the specified user enters a portal page;
a recommended content query unit, which queries the recommended content containing the association tag in the portal page according to the association tag;
a recommended value determining unit which determines a recommended value of the recommended content according to the weight value of the associated tag;
and the recommending unit recommends to the specified user according to the recommended value of the recommended content.
9. A recommendation device for portal pages, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
when a designated user enters a portal page, determining an associated label corresponding to the designated user and a weight value corresponding to the associated label;
according to the association tag, inquiring recommended content containing the association tag in the portal page;
determining a recommendation value of the recommended content according to the weight value of the associated tag;
and recommending to the specified user according to the recommended value of the recommended content.
10. A non-transitory computer storage medium having stored thereon computer-executable instructions configured to:
when a designated user enters a portal page, determining an associated label corresponding to the designated user and a weight value corresponding to the associated label;
according to the association tag, inquiring recommended content containing the association tag in the portal page;
determining a recommendation value of the recommended content according to the weight value of the associated tag;
and recommending to the specified user according to the recommended value of the recommended content.
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