CN113609409A - Method and system for recommending browsing information, electronic device and storage medium - Google Patents
Method and system for recommending browsing information, electronic device and storage medium Download PDFInfo
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Abstract
The invention provides a method for recommending browsing information, a system, electronic equipment and a storage medium thereof, wherein the method comprises the following steps: the method comprises the steps that a plurality of users are subjected to set division according to identity characteristics and historical browsing records of the users to obtain a plurality of user sets; wherein each user set comprises a plurality of users; for each user set, obtaining the electricity price policy documents browsed by all users of the user set, counting the browsing times of each electricity price policy document by the users of the user set, sorting the electricity price policy documents from large to small according to the counted browsing times, screening the first N electricity price policy documents, and pushing any one electricity price policy document to any one user of the user set if the any one user does not browse any one electricity price policy document in the first N electricity price policy documents. According to the invention, the electricity price policy document information which is interesting to the user can be pushed to the user, and the accurate service capability of the electricity price policy document information is improved.
Description
Technical Field
The invention belongs to the technical field of big data analysis, and particularly relates to a method and a system for recommending browsing information, electronic equipment and a storage medium.
Background
The electricity price policy directly influences the development of the whole power energy industry, seriously executes the national electricity price policy and regulation, standardizes the electricity price management order, and has important significance for ensuring the regulation and control of the national industrial policy, saving energy and maintaining the economic benefits of both power supply and power utilization.
The current browsing of the electricity price policy documents mainly means that electricity price managers actively acquire interesting electricity price policy documents from the internet or other channels and download and browse or browse online, along with the development of the internet technology, in order to actively meet the browsing requirements of users, a recommendation and browsing mode is carried out by analyzing big data, based on the background, how to push the electricity price policy document information interesting to the users, the accurate service capability of the electricity price policy document information is improved, and the problem to be solved urgently is solved.
Disclosure of Invention
The invention aims to provide a method and a system for recommending browsing information, electronic equipment and a computer readable storage medium, so as to push user-interested price policy document information to a user and improve the accurate service capability of the price policy document information.
In order to achieve the above object, a first aspect of the present invention provides a method for recommending browsing information, and the method for recommending browsing information, including:
acquiring identity characteristics of a plurality of users;
acquiring historical browsing records of a plurality of users browsing the electricity price policy document through user equipment;
performing set division on the users according to the identity characteristics of the users and historical browsing records to obtain a plurality of user sets; wherein each user set comprises a plurality of users;
for each user set, obtaining the electricity price policy documents browsed by all users of the user set, counting the browsing times of each electricity price policy document by the users of the user set, sorting the electricity price policy documents from large to small according to the counted browsing times, screening the first N electricity price policy documents, and pushing any one electricity price policy document to any one user of the user set if the any one user does not browse any one electricity price policy document in the first N electricity price policy documents.
Optionally, the same user or users are allowed to exist between different sets of users.
Optionally, the performing set division on the multiple users according to the identity characteristics of the multiple users and the historical browsing records to obtain multiple user sets includes:
calculating the similarity of the identity characteristics among the users according to the identity characteristics of the users;
calculating the similarity of the historical browsing records among the users according to the historical browsing records of the users;
calculating the similarity among the users according to the similarity of the identity characteristics among the users and the similarity of historical browsing records, and determining the similarity among the users; if the similarity between any two users is greater than a preset similarity threshold, determining that the two users are similar;
and dividing the users into different user sets according to the similar conditions of the users.
Optionally, the dividing the multiple users into different user sets according to the similar situations of the multiple users includes:
counting the similarity times of the users according to the similarity conditions of the users; if any user is similar to other users, adding 1 to the similarity frequency of the user, wherein the initial value of the similarity frequency of the user is 0;
sorting the plurality of users from big to small according to the similar times of the plurality of users;
performing set division according to the sorting result and the similar conditions of the plurality of users; when the ith round of set division is performed, the users in the ith order are selected as the basic users of the set, and other users similar to the basic users are divided into the set of the basic users, so that i sets are obtained;
and judging whether the relation between the inclusion and the inclusion exists among the sets of the i sets, if so, merging the sets with the relation between the inclusion and the inclusion to obtain a plurality of final user sets.
Optionally, the identity feature is job position information;
the calculating the similarity of the identity features among the users according to the identity features of the users comprises:
if the identity characteristics of the two users are the same working position, the similarity of the identity characteristics of the two users is 1;
if the identity characteristics of the two users are different working posts and the same post type, the similarity of the identity characteristics of the two users is 0.5;
if the identity features between the two users are different working positions and different position types, the similarity of the identity features of the two users is 0.
Optionally, the calculating the similarity of the historical browsing records among the multiple users according to the historical browsing records of the multiple users includes:
comparing historical browsing records of any two users to obtain the number of the same price policy documents browsed by the two users;
respectively calculating the proportion of the number of the same electricity price policy documents to the total number of the electricity price policy documents browsed by the two users, and setting the two calculated proportions as k1 and k 2;
if both k1 and k2 are larger than the preset value, the similarity of the historical browsing records between the two users is 1;
if k1 or k2 is larger than a preset value, the similarity of the historical browsing records between the two users is 0.5;
and if both k1 and k2 are smaller than the preset value, the similarity of the historical browsing records between the two users is 0.
Optionally, the calculating the similarity between the multiple users according to the similarity of the identity features between the multiple users and the similarity of the historical browsing records includes:
and adding the similarity of the identity characteristics between any two users to the similarity of the historical browsing records to obtain the similarity between the two users, enabling the similarity between the two users to be equal to 1 if the calculated similarity between the two users is greater than 1, and enabling the similarity between the two users to be equal to a calculated value if the calculated similarity between the two users is less than or equal to 1.
A second aspect of the present invention provides a system for recommending browsing information, configured to implement the method for recommending browsing information according to the first aspect, where the system includes:
the identity characteristic acquisition unit is used for acquiring identity characteristics of a plurality of users;
a browsing record obtaining unit, configured to obtain historical browsing records of the plurality of user browsing electricity price policy documents;
the user set dividing unit is used for carrying out set division on the users according to the identity characteristics and the historical browsing records of the users to obtain a plurality of user sets; wherein each user set comprises a plurality of users; and
the browsing information recommendation unit is used for acquiring the electricity price policy documents browsed by all users in the user set, counting the browsing times of each electricity price policy document by the users in the user set, sorting the electricity price policy documents from large to small according to the counted times, screening the first N electricity price policy documents, and pushing any one electricity price policy document to any one user in the user set if the any one user does not browse any one electricity price policy document in the first N electricity price policy documents.
A third aspect of the present invention provides an electronic device, comprising: the system for recommending browsing information according to the second aspect, or alternatively, a memory and a processor, wherein the memory stores computer-readable instructions, and the computer-readable instructions, when executed by the processor, cause the processor to perform the steps of the method for recommending browsing information according to the first aspect.
A fourth aspect of the present invention proposes a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for recommending browsing information according to the first aspect.
The method for recommending the browsing information, the system, the electronic equipment and the storage medium have the following beneficial effects that:
obtaining and analyzing the identity characteristics of users and the historical browsing records of the price policy documents, carrying out set division on the users to obtain a plurality of user sets, wherein each user set comprises a plurality of users, then obtaining the price policy documents browsed by all the users in the user sets, counting the browsing times of each price policy document by the users in the user sets, for example, one set comprises 10 users, if 8 users in the 10 users browse a certain price policy document, the browsing times of the price policy document is 8, sorting the price policy documents from large to small according to the counted times, screening the first N price policy documents, which are the price policy documents interested by the users in the user sets, and finally, if any user in the user sets does not browse any one of the first N price policy documents, and pushing any one of the electricity price policy documents to any one of the users to realize browsing information recommendation, thereby being capable of pushing electricity price policy document information which the users are interested in and improving accurate service capability of the electricity price policy document information.
Additional details and advantages of a method of recommending browsing information and a system, electronic device, storage medium therefor are set forth in the description that follows.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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 following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating a method for recommending browsing information according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a system architecture for recommending browsing information according to another embodiment of the present invention.
Fig. 3 is a schematic diagram of a structural framework of an electronic device according to another embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a method for recommending browsing information, where the system of this embodiment is implemented by a server, and the server interacts with a plurality of user devices, such as mobile phones; the method comprises the following steps:
step S1, obtaining identity characteristics of a plurality of users;
specifically, the electricity price policy mainly comprises an internet electricity price policy, a power transmission and distribution price policy and a sale electricity price policy; the electricity price policy is changeable but not invariable, and when the electricity price policy is updated, the electricity price policy is released at an electricity price policy releasing website of a related department such as a supervision department and the like; for enterprises in different working scenes in the power industry, the working content of the enterprises needs to be adjusted in time according to the latest electricity price policy; specifically, in this embodiment, the user equipment needs to authorize the server to obtain the identity characteristics of the user, where the identity characteristics may be a mobile phone number, the mobile phone number is a real-name system, and the work post of each user is also unique, and the mobile phone number may be matched with the work post of the user, so that the identity characteristics specifically refer to the work post, and the work post at least includes a sales side post, an internet surfing side post, and a power supply side post, and corresponds to a manager of the internet surfing electricity price policy, the transmission and distribution electricity price policy, and the sales electricity price policy, respectively.
Step S2, obtaining historical browsing records of the plurality of users browsing the electricity price policy document through user equipment;
specifically, in this embodiment, the user equipment needs to authorize the server to obtain a historical browsing record of the user equipment browsing the electricity price policy document, and when the user equipment browses the electricity price policy document, the browsing record is shared to the server; in this embodiment, the historical browsing history of the user is obtained mainly for understanding the browsing habit of the electricity price policy of the user.
Step S3, performing set division on the plurality of users according to the identity characteristics and the historical browsing records of the plurality of users to obtain a plurality of user sets; wherein each user set comprises a plurality of users;
specifically, the user set may be divided by a clustering algorithm, and users with similar identity features and browsing habits are divided into the same set.
Step S4, for each user set, obtaining the electricity price policy documents browsed by all users of the user set, counting the browsing times of each electricity price policy document by the users of the user set, sorting the electricity price policy documents from large to small according to the counted browsing times, screening the top N electricity price policy documents, and pushing any electricity price policy document to any user of the user set if the user does not browse any electricity price policy document of the top N electricity price policy documents.
The method of the embodiment of the invention obtains and analyzes the identity characteristics of users and the historical browsing records of the price policy documents, carries out set division on the users to obtain a plurality of user sets, wherein each user set comprises a plurality of users, then obtains the price policy documents browsed by all the users in the user sets, counts the browsing times of each price policy document by the users in the user sets, for example, one set comprises 10 users, if 8 users in the 10 users browse a certain price policy document, the browsing times of the price policy document is 8, sorts the price policy documents with the top N number according to the counted times from large to small, screens out the price policy documents with the top N number, the price policy documents with the top N number are the price policy documents which are more interested by the users in the user sets, and finally, if any user in the user sets does not browse any price policy document in the price policy documents with the top N number, and pushing any one of the electricity price policy documents to any one of the users to realize browsing information recommendation, thereby being capable of pushing electricity price policy document information which the users are interested in and improving accurate service capability of the electricity price policy document information.
In some embodiments, the same user or users are allowed to exist between different sets of users.
It will be appreciated that there is a possibility that user a and user B have the same identity and browsing habits, while user a and user C have the same identity and browsing habits, and then set 1 comprises user a and user B and set 2 comprises user a and user C, thus allowing the same user or users to exist between different sets of users.
In some embodiments, the step S3 includes:
step S31, calculating similarity of identity characteristics among the users according to the identity characteristics of the users;
step S32, calculating the similarity of the historical browsing records among the users according to the historical browsing records of the users;
step S33, calculating the similarity between the users according to the similarity of the identity characteristics between the users and the similarity of the historical browsing records, and determining the similarity between the users; if the similarity between any two users is greater than a preset similarity threshold, determining that the two users are similar;
and step S34, dividing the users into different user sets according to the similarity of the users.
In some embodiments, the step S34 includes:
step S341, counting the number of times of similarity of the plurality of users according to the similarity of the plurality of users; if any user is similar to other users, adding 1 to the similarity frequency of the user, wherein the initial value of the similarity frequency of the user is 0;
step S342, sorting the plurality of users from big to small according to the similar times of the plurality of users;
step S343, set division is carried out according to the sorting result and the similar situation of the plurality of users; when the ith round of set division is performed, the users in the ith order are selected as the basic users of the set, and other users similar to the basic users are divided into the set of the basic users, so that i sets are obtained;
step S344, determining whether there is an inclusion-contained relationship between the i sets, and if so, merging the sets having the inclusion-contained relationship to obtain a plurality of final user sets.
In some embodiments, the step S31 includes:
if the identity characteristics of the two users are the same working position, the similarity of the identity characteristics of the two users is 1;
if the identity characteristics of the two users are different working posts and the same post type, the similarity of the identity characteristics of the two users is 0.5;
if the identity features between the two users are different working positions and different position types, the similarity of the identity features of the two users is 0.
In some embodiments, the step S32 includes:
comparing historical browsing records of any two users to obtain the number of the same price policy documents browsed by the two users;
respectively calculating the proportion of the number of the same electricity price policy documents to the total number of the electricity price policy documents browsed by the two users, and setting the two calculated proportions as k1 and k 2;
if both k1 and k2 are larger than the preset value, the similarity of the historical browsing records between the two users is 1;
if k1 or k2 is larger than a preset value, the similarity of the historical browsing records between the two users is 0.5;
and if both k1 and k2 are smaller than the preset value, the similarity of the historical browsing records between the two users is 0.
In some embodiments, the step S33 includes:
and adding the similarity of the identity characteristics between any two users to the similarity of the historical browsing records to obtain the similarity between the two users, enabling the similarity between the two users to be equal to 1 if the calculated similarity between the two users is greater than 1, and enabling the similarity between the two users to be equal to a calculated value if the calculated similarity between the two users is less than or equal to 1.
Referring to fig. 2, another embodiment of the present invention provides a system for recommending browsing information, which can be used to implement the method for recommending browsing information according to the foregoing embodiment, and the system includes:
an identity characteristic obtaining unit 11, configured to obtain identity characteristics of multiple users;
a browsing record obtaining unit 12, configured to obtain historical browsing records of the plurality of users browsing the electricity price policy document;
a user set dividing unit 13, configured to perform set division on the multiple users according to the identity features of the multiple users and the historical browsing records to obtain multiple user sets; wherein each user set comprises a plurality of users; and
the browsing information recommending unit 14 is configured to obtain the electricity price policy documents browsed by all users in the user set, count the number of times that each electricity price policy document is browsed by the user in the user set, sort the electricity price policy documents from large to small according to the counted number of times, screen out the top N electricity price policy documents, and push any one electricity price policy document to any one user in the user set if the any one user does not browse any one electricity price policy document in the top N electricity price policy documents.
The above-described system embodiments are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
It should be noted that the system described in the foregoing embodiment corresponds to the method described in the foregoing embodiment, and therefore, a part of the system described in the foregoing embodiment that is not described in detail can be obtained by referring to the content of the method described in the foregoing embodiment, that is, the specific step content described in the method of the foregoing embodiment can be understood as the function that can be realized by the system of the present embodiment, and is not described herein again.
In addition, when the system for recommending browsing information is implemented in the form of a software functional unit and sold or used as an independent product, the system may be stored in a computer-readable storage medium.
Another embodiment of the present invention provides an electronic device including: the system for recommending browsing information according to the above embodiment, or alternatively, the memory and the processor, where the memory stores computer-readable instructions, and the computer-readable instructions, when executed by the processor, cause the processor to execute the steps of the control method for recommending browsing information according to the above embodiment.
For example, as shown in FIG. 3, the memory 21 and the processor 22 of the electronic device 2 are connected by a bus 23.
The memory 21 includes at least one type of readable storage medium, which includes a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 21 may be an internal storage unit of the electronic device in some embodiments. The memory 21 may also be an external storage device of the electronic device in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the electronic device. Further, the memory 21 may also include both an internal storage unit and an external storage device of the electronic device. The memory 21 can be used for storing various data and application software installed in the electronic device, such as: the code of the program that executes the control method of recommending browsing information, and the like, may also be used to temporarily store data that has been output or is to be output.
The processor 22 may in some embodiments be a Central Processing Unit (CPU), an electronic device, a microelectronic device, a microprocessor or other data Processing chip, for running program code stored in the memory 21 or Processing data, such as code of a program for executing a control method for recommending browsing information, etc.
The bus 23 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 3, but this does not mean only one bus or one type of bus.
Further, the electronic device may further include a network interface 24, and the network interface 24 may optionally include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are generally used to establish a communication connection between the electronic device and other electronic devices.
Fig. 3 shows only an electronic device with components 21-24, and those skilled in the art will appreciate that the structure shown in fig. 3 does not constitute a limitation of the electronic device, and may include fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
Another embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method for recommending browsing information described in the above embodiment.
Specifically, the computer-readable storage medium may include: any entity or device capable of carrying the computer program instructions, recording media, U-disks, removable hard disks, magnetic disks, optical disks, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier signals, telecommunications signals, software distribution media, and the like.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A method for recommending browsing information, the method comprising:
acquiring identity characteristics of a plurality of users;
acquiring historical browsing records of a plurality of users browsing the electricity price policy document through user equipment;
performing set division on the users according to the identity characteristics of the users and historical browsing records to obtain a plurality of user sets; wherein each user set comprises a plurality of users;
for each user set, obtaining the electricity price policy documents browsed by all users of the user set, counting the browsing times of each electricity price policy document by the users of the user set, sorting the electricity price policy documents from large to small according to the counted browsing times, screening the first N electricity price policy documents, and pushing any one electricity price policy document to any one user of the user set if the any one user does not browse any one electricity price policy document in the first N electricity price policy documents.
2. The method of recommending browsing information of claim 1, wherein the same user or users are allowed to exist between different sets of users.
3. The method of claim 1, wherein the set-dividing the plurality of users according to the identity characteristics of the plurality of users and the historical browsing records to obtain a plurality of user sets comprises:
calculating the similarity of the identity characteristics among the users according to the identity characteristics of the users;
calculating the similarity of the historical browsing records among the users according to the historical browsing records of the users;
calculating the similarity among the users according to the similarity of the identity characteristics among the users and the similarity of historical browsing records, and determining the similarity among the users; if the similarity between any two users is greater than a preset similarity threshold, determining that the two users are similar;
and dividing the users into different user sets according to the similar conditions of the users.
4. The method of claim 3, wherein the dividing the plurality of users into different user sets according to the similarity of the plurality of users comprises:
counting the similarity times of the users according to the similarity conditions of the users; if any user is similar to other users, adding 1 to the similarity frequency of the user, wherein the initial value of the similarity frequency of the user is 0;
sorting the plurality of users from big to small according to the similar times of the plurality of users;
performing set division according to the sorting result and the similar conditions of the plurality of users; when the ith round of set division is performed, the users in the ith order are selected as the basic users of the set, and other users similar to the basic users are divided into the set of the basic users, so that i sets are obtained;
and judging whether the relation between the inclusion and the inclusion exists among the sets of the i sets, if so, merging the sets with the relation between the inclusion and the inclusion to obtain a plurality of final user sets.
5. The method for recommending browsing information of claim 3, wherein said identity characteristic is job information;
the calculating the similarity of the identity features among the users according to the identity features of the users comprises:
if the identity characteristics of the two users are the same working position, the similarity of the identity characteristics of the two users is 1;
if the identity characteristics of the two users are different working posts and the same post type, the similarity of the identity characteristics of the two users is 0.5;
if the identity features between the two users are different working positions and different position types, the similarity of the identity features of the two users is 0.
6. The method of claim 3, wherein the calculating the similarity of the historical browsing records among the plurality of users according to the historical browsing records of the plurality of users comprises:
comparing historical browsing records of any two users to obtain the number of the same price policy documents browsed by the two users;
respectively calculating the proportion of the number of the same electricity price policy documents to the total number of the electricity price policy documents browsed by the two users, and setting the two calculated proportions as k1 and k 2;
if both k1 and k2 are larger than the preset value, the similarity of the historical browsing records between the two users is 1;
if k1 or k2 is larger than a preset value, the similarity of the historical browsing records between the two users is 0.5;
and if both k1 and k2 are smaller than the preset value, the similarity of the historical browsing records between the two users is 0.
7. The method of claim 4, wherein the calculating the similarity between the plurality of users according to the similarity of the identity features between the plurality of users and the similarity of the historical browsing records comprises:
and adding the similarity of the identity characteristics between any two users to the similarity of the historical browsing records to obtain the similarity between the two users, enabling the similarity between the two users to be equal to 1 if the calculated similarity between the two users is greater than 1, and enabling the similarity between the two users to be equal to a calculated value if the calculated similarity between the two users is less than or equal to 1.
8. A system for recommending browsing information, which is used for implementing the method for recommending browsing information according to any one of claims 1-7, wherein the system comprises:
the identity characteristic acquisition unit is used for acquiring identity characteristics of a plurality of users;
a browsing record obtaining unit, configured to obtain historical browsing records of the plurality of user browsing electricity price policy documents;
the user set dividing unit is used for carrying out set division on the users according to the identity characteristics and the historical browsing records of the users to obtain a plurality of user sets; wherein each user set comprises a plurality of users; and
the browsing information recommendation unit is used for acquiring the electricity price policy documents browsed by all users in the user set, counting the browsing times of each electricity price policy document by the users in the user set, sorting the electricity price policy documents from large to small according to the counted times, screening the first N electricity price policy documents, and pushing any one electricity price policy document to any one user in the user set if the any one user does not browse any one electricity price policy document in the first N electricity price policy documents.
9. An electronic device, comprising: the system for recommending browsing information of claim 8, or a memory and a processor, the memory having stored therein computer-readable instructions, which, when executed by the processor, cause the processor to perform the steps of the method for recommending browsing information according to any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of recommending browsing information of any of claims 1-7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113821731A (en) * | 2021-11-23 | 2021-12-21 | 湖北亿咖通科技有限公司 | Information push method, device and medium |
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