CN114817730A - Information activity information recommendation system and method under big data situation - Google Patents
Information activity information recommendation system and method under big data situation Download PDFInfo
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Abstract
The invention discloses an information activity information recommendation system and method under a big data situation. The invention can collect and input the retrieval data, stay the watching time and repeat the watching times in real time through the user retrieval data; extracting keywords of the activity information, matching the same type of activity information according to the keywords and the similar keywords, and pushing the number of the same and similar keyword information activity information; analyzing and judging the recommended quantity of the subsequent information activity information according to the staying and watching time length of the user on the information and the watching times of the information activity information, and adjusting the recommended quantity of the information activity information in real time; and after the retrieval and the inspection are interrupted, the information locking state is entered, the recommendation quantity of the information of the same type of activities is directly and greatly reduced, meanwhile, the recommendation quantity is adjusted in real time according to the subsequent reference data of the user, and when the reference quantity reaches a critical point, the locking state is released.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an information activity information recommendation system and method under a big data situation.
Background
The information is information which can bring value to the user in a relatively short time because the user obtains the information and utilizes the information in time, and the information is time-efficient and regional, and the information must be utilized by the consumer. In a strict sense, news is information, and the information is information, which covers not only news, but also other media; the information comprises the categories of news, supply and demand, dynamics, technology, policy, comment, viewpoint and academia, and the timeliness range is far wider than that of the news. The target audience for news is relatively broad, without strict audience segmentation, and the target of the audience for information is relatively strong. Big data means that the amount of data involved is so large that the data cannot be captured, managed, processed and organized in a reasonable time through mainstream software tools to become information which helps enterprises make more positive business decisions. The value of big data is reflected in the following aspects: enterprises that offer products or services to a large number of consumers can utilize big data for accurate marketing; the medium and small micro-enterprises in the small and beautiful mode can use big data to perform service transformation; traditional enterprises that must be transformed in the face of internet pressure need to take full advantage of the value of large data over time.
The existing information activity information recommendation system based on big data situation often pushes a large amount of information activity information aiming at user retrieval information; after the user search is finished, no matter whether the client still needs the information, the activity information is still recommended to the user, and the recommendation accuracy is poor.
Disclosure of Invention
The present invention is directed to a system and method for recommending information activity information in a big data situation, so as to solve the problems mentioned in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: an information activity information recommendation system under a big data situation comprises a cloud platform, a data acquisition module, a data analysis module, an information recommendation module, a database and an intelligent terminal, wherein the output end of the cloud platform is respectively connected with the input ends of the data acquisition module, the data analysis module, the information recommendation module, the database and the intelligent terminal, and the input end of the cloud platform is respectively connected with the output ends of the data acquisition module, the data analysis module, the information recommendation module, the database and the intelligent terminal; the cloud platform comprehensively manages and controls the system as a whole, the data acquisition module is used for acquiring time and times for searching information by a user and viewing information by the user, the data analysis module is used for extracting keywords and information and carrying out modeling processing, the information recommendation module is used for recommending, locking and unlocking the information, and the database is used for storing and referring to system data; the intelligent terminal is used for displaying, setting and adjusting system data.
Further, the cloud platform includes: the system comprises a central processing unit and an information transceiving unit, wherein the central processing unit performs comprehensive analysis processing on data, and the information transceiving unit performs transceiving processing on data information.
Further, the data acquisition module comprises: the system comprises a retrieval acquisition unit, a time acquisition unit and a frequency acquisition unit; the retrieval acquisition unit acquires retrieval data input by a user, the time acquisition unit is used for acquiring the stay watching time of the user in the existing information activity information, and the frequency acquisition unit is used for acquiring the repeated watching times of the similar information activity information.
Further, the data analysis module comprises: a keyword extraction unit, an information extraction unit and a model modeling unit; the keyword extraction unit analyzes and extracts keywords of the information, the information extraction unit extracts the information according to the information keywords, and the model modeling unit establishes an information recommendation model according to the information recommendation data.
Further, the information management module includes: an information recommending unit, an information locking unit and an information unlocking unit; the information recommending unit recommends information, the information locking unit locks and pushes the information, and the information unlocking unit unlocks and pushes the information.
Further, the database comprises a storage unit, and the storage unit comprises a local memory and a cloud memory.
Furthermore, the intelligent terminal comprises an input unit and a display unit, wherein the input unit is used for inputting, setting and adjusting system data by a user, and the display unit is used for displaying the system data.
The invention also provides a use method of the information activity information recommendation system under the big data situation, which comprises the following steps:
s1, through the intelligent terminal starting system, the data acquisition module acquires the search terms of the user search informationAccording to the user searching word recommendation information activity information, the data acquisition module enters a database to acquire data and acquires the historical staying and watching time A of the user in the existing same keyword information activity information i The historical repeated watching times B of the same keyword information activity information i (ii) a Historical stay watching time C for collecting information of similar keyword information activities i The historical repeated watching times D of the information activity information similar to the keywords i ；
S2, the data analysis module extracts keywords of the activity information, retrieves and extracts the information in the database according to the keywords and the similar or synonym sentences of the keywords, determines the same keyword information activity information and similar keyword information activity information, and establishes an information recommendation model according to the previous and next data information, wherein the model comprises: the number of the same keyword information event information is E, G, and the number of the similar keyword information event information is F, H;
s3, the information management module, when the user checks the search information, pushing the same keyword information activity information E and pushing the similar keyword information activity information F according to the search data of the user;
T i the average time spent for viewing the information activity information for history, n is the number of the information activity information for viewing history, t i The average time spent on viewing the corresponding information activity information in the history is taken, m is the number of the corresponding information activity information in the history, and X is the total number of the information activity information which can be displayed on the current retrieval and detection interface;
s4, when the user quits the check of the search information and does not check the information under the condition of other search tasks, the information locking state is entered: pushing the same keyword information activity information with the number G according to the user search data, and pushing the similar keyword information activity information with the number H;
when j is larger than or equal to 4, unlocking the same keyword information lock, and pushing the number of the same keyword information activity information to be E;
when k is larger than or equal to 4, unlocking the similar keyword information lock, and simultaneously pushing the number of the activity information of the similar keyword information to be F;
and S5, exchanging and summarizing data in the system in the cloud platform, storing the data in the system in a database in real time, and inputting the data by a user through an intelligent terminal to input, set and correct the own preference and habit of the user.
Furthermore, in the working and moving process of the system, data are updated in real time, and a calculation formula is supplemented in real time.
Further, after the user completely exits the information activity information application and subsequently enters the application, according to the recommended information activity information of the early-stage search keyword, the recommended number of the corresponding keyword information activity information is P, and the recommended number of the corresponding similar keyword information activity information is Q; x is the total quantity of the information activity information which can be displayed on the current retrieval and detection interface;
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, by arranging the data acquisition module, the data analysis module, the information recommendation module and the database, the user search data can be used for acquiring and inputting the search data in real time, and the staying and watching time of the user in the existing information activity information and the repeated watching times of the information of the same kind of information activity information can be acquired in real time; extracting keywords of the activity information, and pushing the activity information quantity of the same keyword information and the activity information quantity of similar keyword information according to the keywords and similar or synonym sentences of the keywords matching with the same activity information; analyzing and judging the quantity of the subsequent information activity information recommendation according to the length of the stay and the watching time of the user on the information and the watching times of the information activity information, and adjusting the quantity of the information activity information recommendation in real time.
2. In the invention, after the retrieval and the inspection are interrupted, the information locking state is entered, the recommendation quantity of the information of the same type of activities is directly and greatly reduced, meanwhile, the recommendation quantity is adjusted in real time according to the subsequent reference data of a user, and when the reference quantity reaches a critical point, the locking state is released; meanwhile, the recommended activity information amount is determined according to the watching habits of the user; and when the user completely exits the information activity information application and then subsequently enters the application, automatically recommending the corresponding keyword information activity information quantity and the corresponding similar keyword information activity information pushing quantity according to the recommended information activity information of the early-stage search keyword.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the module connection of the present invention;
in the figure: 1. a cloud platform; 2. a data acquisition module; 3. a data analysis module; 4. an information recommendation module; 5. a database; 6. an intelligent terminal; 7. a central processing unit; 8. an information transmitting/receiving unit; 9. a retrieval and collection unit; 10. a time acquisition unit; 11. a frequency acquisition unit; 12. a keyword extraction unit; 13. an information extraction unit; 14. a model modeling unit; 15. an information recommending unit; 16. an information locking unit; 17. an information unlocking unit; 18. a storage unit; 19. an input unit; 20. a display unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the 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, the present invention provides a technical solution: an information activity information recommendation system under a big data situation comprises a cloud platform 1, a data acquisition module 2, a data analysis module 3, an information recommendation module 4, a database 5 and an intelligent terminal 6, wherein the output end of the cloud platform 1 is respectively connected with the input ends of the data acquisition module 2, the data analysis module 3, the information recommendation module 4, the database 5 and the intelligent terminal 6, and the input end of the cloud platform 1 is respectively connected with the output ends of the data acquisition module 2, the data analysis module 3, the information recommendation module 4, the database 5 and the intelligent terminal 6; the cloud platform 1 is used for integrally and comprehensively controlling the system, the data acquisition module 2 is used for acquiring time and times for searching information by a user and checking information by the user, the data analysis module 4 is used for extracting keywords and information and carrying out modeling processing, the information recommendation module 4 is used for recommending, locking and unlocking the information, and the database 5 is used for storing and referring to system data; the intelligent terminal 6 is used for displaying, setting and adjusting system data; the cloud platform 1 includes: the system comprises a central processing unit 7 and an information transceiving unit 8, wherein the central processing unit 7 performs comprehensive analysis processing on data, and the information transceiving unit 8 performs transceiving processing on data information; the data acquisition module 2 includes: a retrieval acquisition unit 9, a time acquisition unit 10 and a frequency acquisition unit 11; the retrieval acquisition unit 9 is used for acquiring retrieval data input by a user, the time acquisition unit 10 is used for acquiring the staying and watching time of the user in the existing information activity information, and the frequency acquisition unit 11 is used for acquiring the repeated watching times of the information activity information of the same kind; the data analysis module 3 includes: a keyword extraction unit 12, an information extraction unit 13, a model modeling unit 14; the keyword extraction unit 12 analyzes and extracts keywords of the information, the information extraction unit 13 extracts the information according to the information keywords, and the model modeling unit 14 builds an information recommendation model according to information recommendation data; the information management module 4 includes: an information recommending unit 15, an information locking unit 16, an information unlocking unit 17; the information recommending unit 15 recommends information, the information locking unit 16 locks and pushes the information, and the information unlocking unit 17 unlocks and pushes the information;
the database 5 comprises a storage unit 18, and the storage unit 18 comprises a local memory and a cloud memory;
the intelligent terminal 6 comprises an input unit 19 and a display unit 20, wherein the input unit 19 is used for inputting, setting and adjusting system data by a user, and the display unit 20 is used for displaying the system data;
the invention also provides a use method of the information activity information recommendation system in the big data situation, which comprises the following steps:
s1, starting the system through the intelligent terminal 6, collecting the search terms of the user search information by the data collection module 2, recommending the information activity information according to the search terms of the user, collecting the data by the data collection module 2 in the database 5, and collecting the historical stay watching time A of the user in the current same keyword information activity information i The historical repeated watching times B of the same keyword information activity information i (ii) a History stop for collecting information activity information of similar keywordsViewing time C i The historical repeated watching times D of the information activity information similar to the keywords i ；
S2, the data analysis module 3 extracts the keywords of the activity information, retrieves and extracts the information in the database 5 according to the keywords and the similar or synonym sentences of the keywords, determines the same keyword information activity information and similar keyword information activity information, and establishes an information recommendation model according to the previous and next data information, wherein the model comprises: the number of the same keyword information event information is E, G, and the number of the similar keyword information event information is F, H;
s3, the information management module 4, when the user checks the search information, pushing the same keyword information activity information E and pushing the similar keyword information activity information F according to the search data of the user;
T i the average time spent for viewing the information activity information for history, n is the number of the information activity information for viewing history, t i The average time spent on viewing the corresponding information activity information in the history is taken, m is the number of the corresponding information activity information in the history, and X is the total number of the information activity information which can be displayed on the current retrieval and detection interface;
s4, when the user quits the check of the search information and does not check the information under the condition of other search tasks, the information locking state is entered: the number of the information activity information of the same key words is pushed to be G according to the user retrieval data, and the number of the information activity information of the similar key words is pushed to be H;
when j is larger than or equal to 4, unlocking the same keyword information lock, and pushing the number of the same keyword information activity information to be E;
when k is larger than or equal to 4, unlocking the similar keyword information lock, and simultaneously pushing the number of the activity information of the similar keyword information to be F;
after the user completely exits the information activity information application and subsequently enters the application, according to the recommended information activity information of the early-stage search keyword, the recommended quantity of the corresponding keyword information activity information is P, and the recommended quantity of the corresponding similar keyword information activity information is Q; x is the total quantity of the information activity information which can be displayed on the current retrieval and detection interface;
s5, exchanging and summarizing data in the system in the cloud platform 1, storing the data in the system in the database 5 in real time, and enabling a user to input data through the intelligent terminal 6 to input, set and correct own preferences and habits of the user;
and in the working and moving process of the system, the data is updated in real time, and a calculation formula is supplemented in real time.
The invention solves the problem that the existing information activity information recommendation system based on big data situation often pushes a large amount of information activity information aiming at the user retrieval information; after the user search is finished, no matter whether the client still needs the information, the activity information is still recommended to the user, and the recommendation accuracy is poor.
The working principle of the invention is as follows:
referring to the attached figure 1 of the specification, the data acquisition module 2, the data analysis module 3, the information recommendation module 4 and the database 5 are arranged, so that the retrieval data can be acquired and input in real time through the retrieval data of the user, the retention and viewing time of the user in the existing information activity information and the repeated viewing times of the information of the same kind of information activity can be acquired in real time; extracting keywords of the activity information, and pushing the activity information quantity of the same keyword information and the activity information quantity of similar keyword information according to the keywords and similar or synonym sentences of the keywords matching with the same activity information; analyzing and judging the recommended quantity of the subsequent information activity information according to the staying and watching time length of the user on the information and the watching times of the information activity information, and adjusting the recommended quantity of the information activity information in real time; after the search and the check are interrupted, the information locking state is entered, the recommendation quantity of the information of the same type of activities is directly and greatly reduced, meanwhile, the recommendation quantity is adjusted in real time according to the subsequent look-up data of the user, and when the look-up quantity reaches a critical point, the locking state is released; meanwhile, the recommended activity information amount is determined according to the watching habits of the user; and when the user completely exits the information activity information application and then subsequently enters the application, automatically recommending the corresponding keyword information activity information quantity and the corresponding similar keyword information activity information pushing quantity according to the recommended information activity information of the early-stage search keyword.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides an information activity information recommendation system under big data situation, includes cloud platform (1), data acquisition module (2), data analysis module (3), information recommendation module (4), database (5) and intelligent terminal (6), its characterized in that: the output end of the cloud platform (1) is respectively connected with the input ends of the data acquisition module (2), the data analysis module (3), the information recommendation module (4), the database (5) and the intelligent terminal (6), and the input end of the cloud platform (1) is respectively connected with the output ends of the data acquisition module (2), the data analysis module (3), the information recommendation module (4), the database (5) and the intelligent terminal (6); the cloud platform (1) is used for integrally and comprehensively controlling the system, the data acquisition module (2) is used for acquiring time and times for searching information by a user and viewing information by the user, the data analysis module (4) is used for extracting keywords and information and carrying out modeling processing, the information recommendation module (4) is used for recommending, locking and unlocking the information, and the database (5) is used for storing and referring to system data; and the intelligent terminal (6) is used for displaying, setting and adjusting system data.
2. The system of claim 1, wherein the system comprises: the cloud platform (1) comprises: the device comprises a central processing unit (7) and an information transceiving unit (8), wherein the central processing unit (7) performs comprehensive analysis processing on data, and the information transceiving unit (8) performs transceiving processing on data information.
3. The system of claim 1, wherein the system is for recommending information about activities under big data environment: the data acquisition module (2) comprises: a retrieval acquisition unit (9), a time acquisition unit (10) and a frequency acquisition unit (11); the retrieval acquisition unit (9) acquires retrieval data input by a user, and the time acquisition unit (10) is used for acquiring the staying and watching time of the user in the existing information activity information, and the frequency acquisition unit (11) is used for acquiring the repeated watching times of the information activity information of the same type.
4. The system of claim 1, wherein the system comprises: the data analysis module (3) comprises: a keyword extraction unit (12), an information extraction unit (13), and a model modeling unit (14); the keyword extraction unit (12) analyzes and extracts keywords of the information, the information extraction unit (13) extracts the information according to the information keywords, and the model modeling unit (14) builds an information recommendation model according to the information recommendation data.
5. The system of claim 1, wherein the system comprises: the information management module (4) comprises: an information recommending unit (15), an information locking unit (16), and an information unlocking unit (17); the information recommending unit (15) recommends information, the information locking unit (16) locks and pushes the information, and the information unlocking unit (17) unlocks and pushes the information.
6. The system of claim 1, wherein the system comprises: the database (5) comprises a storage unit (18), and the storage unit (18) comprises a local memory and a cloud memory.
7. The system of claim 1, wherein the system comprises: the intelligent terminal (6) comprises an input unit (19) and a display unit (20), wherein the input unit (19) is used for inputting, setting and adjusting system data by a user, and the display unit (20) is used for displaying the system data.
8. The method of any one of claims 1-7, wherein the system further comprises: the method comprises the following steps:
s1, starting the system through the intelligent terminal (6), collecting the search terms of the user search information by the data collection module (2), recommending the information activity information according to the search terms of the user, collecting data by the data collection module (2) entering the database (5), and collecting the historical staying and watching time A of the user in the current same keyword information activity information i The historical repeated watching times B of the same keyword information activity information i (ii) a Historical stay watching time C for collecting information of similar keyword information activities i The historical repeated watching times D of the information activity information similar to the key words i ；
S2, the data analysis module (3) extracts keywords of the activity information, retrieves and extracts the information in the database (5) according to the keywords and the similar or synonym sentences of the keywords, determines the same keyword information activity information and similar keyword information activity information, and establishes an information recommendation model according to the previous and next data information, wherein the model comprises: the number of the same keyword information event information is E, G, and the number of the similar keyword information event information is F, H;
s3, the information management module (4) pushes the same keyword information activity information to be E and pushes the similar keyword information activity information to be F according to the user search data when the user checks the search information;
T i the average time spent for viewing the information of the corresponding information activity for history, n is the number of the information of the corresponding information activity for history, t i The average time spent on viewing the corresponding information activity information in the history is taken, m is the number of the corresponding information activity information in the history, and X is the total number of the information activity information which can be displayed on the current retrieval and detection interface;
s4, when the user quits the check of the search information and does not check the information under the condition of other search tasks, the information locking state is entered: the number of the information activity information of the same key words is pushed to be G according to the user retrieval data, and the number of the information activity information of the similar key words is pushed to be H;
G＝E*(z*0.1)；
j is more than or equal to 1 and less than 4; j is the number of watched information with the same key word in the current interface;
H＝F*(y*0.1)；
k is more than or equal to 1 and less than 4; k is the number of viewing of the current interface approximate keyword information activity information;
when j is larger than or equal to 4, unlocking the same keyword information lock, and pushing the number of the same keyword information activity information to be E;
when k is larger than or equal to 4, unlocking the similar keyword information lock, and simultaneously pushing the number of the activity information of the similar keyword information to be F;
and S5, exchanging and summarizing data in the system in the cloud platform (1), storing the data in the system in a database (5) in real time, and inputting the data by a user through an intelligent terminal (6) to input, set and correct the own preference and habit of the user.
9. The method of claim 8, wherein the system further comprises: and in the working and moving process of the system, the data is updated in real time, and a calculation formula is supplemented in real time.
10. The method of claim 8, wherein the system further comprises: after the user completely exits the information activity information application and subsequently enters the application, according to the recommended information activity information of the early-stage search keyword, the recommended quantity of the corresponding keyword information activity information is P, and the recommended quantity of the corresponding similar keyword information activity information is Q; x is the total quantity of the information activity information which can be displayed on the current retrieval and detection interface;
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