CN108932280B - Information acquisition method based on user profile - Google Patents
Information acquisition method based on user profile Download PDFInfo
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- CN108932280B CN108932280B CN201810420875.5A CN201810420875A CN108932280B CN 108932280 B CN108932280 B CN 108932280B CN 201810420875 A CN201810420875 A CN 201810420875A CN 108932280 B CN108932280 B CN 108932280B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
The invention relates to an information acquisition method based on a user profile, which comprises the following steps: s1: determining a first data end combination; s2: a second data side combination is determined based on the first data side combination. The invention can limit the information acquisition range in the effective number or the effective range, so that a user can deeply acquire the required information from the range, and the perpendicularity of information acquisition is increased; meanwhile, the limitation of the range is set according to individual differences of different users, and the analysis and differentiation of the user profile are limited, so that the user experience and the user information acquisition efficiency are greatly improved.
Description
[ field of technology ]
The invention belongs to the field of information acquisition, and particularly relates to an information acquisition method based on user profiles.
[ background Art ]
Today, with the increasing popularity of networks, network life has become an integral part of people's life. Users increasingly participate in network activities, so that the number of network information is increased explosively, and meanwhile, operation information of the network users on the internet, such as accessing a certain link, posting comments, uploading pictures, posting logs and the like, is more massive information. At present, massive operation information is becoming more and more valuable, and by analyzing the operation information of the user, the system can be helped to more comprehensively know the habit and preference of the user, so that better service is provided. The traditional method for analyzing the operation information of the user on the Internet is simple statistical quantity, and the popularity of certain contents is evaluated according to the quantity. The further improved analysis method is to combine the user name of the user to analyze the operation information of the user, and provide more targeted information to the user according to the analysis result, such as recommending certain information or sending certain promotion information. However, in the conventional analysis method, an independent single user is analyzed, and for a user with single operation information on the internet, the information source of the user cannot be expanded; for users with less or more distributed operational information on the internet, providing that user's information may not be desirable to the user. That is, the conventional method cannot provide targeted information to the user. Nor is it possible to limit information acquisition based on the individuation differences of users; based on the above problems, a new method for obtaining information based on user profile is needed, and the invention can limit the range of information obtaining in the effective number or the effective range, so that the user can deeply obtain the required information from the range, and the perpendicularity of information obtaining is increased; meanwhile, the limitation of the range is set according to individual differences of different users, and the analysis and differentiation of the user profile are limited, so that the user experience and the user information acquisition efficiency are greatly improved.
[ invention ]
In order to solve the above problems in the prior art, the present invention provides an information acquisition method based on user profile, which includes the following steps:
s1: determining a first data end combination;
s2: a second data side combination is determined based on the first data side combination.
Further, in step S2, the first data terminal combination is refined according to the user profile to obtain a second data terminal combination.
Further, the refining the data end combination according to the user profile specifically includes: calculating the progress degree of the user based on the user profile, and limiting the number of data ends in the data end combination to be a fixed number if the progress degree is smaller than a progress degree threshold; if the progress degree is greater than the progress degree threshold, limiting the number of data terminals in the data terminal combination to be the sum of the fixed number and the newly added number.
Further, the calculating the progress degree of the user based on the user profile specifically includes: the user profile includes: the user AGE, the education degree GL of the user, the average time length AT acquired by the same information, and the progress degree LD based on the following formula;
bs_at is a reference adjustment value for AT;
wherein FA is a preset value; w is an adjustment value.
Further, fa=1.
Further, W is less than 1.
Further, w= -0.95; AGE1 = 16.8; AGE2 = 62; .
Further, the new increment number is calculated according to the progress degree of the user; calculating the new number ADN based on the following formula;
the beneficial effects of the invention include: the information acquisition range can be limited in the effective number or the effective range, so that a user can deeply acquire the required information from the range, and the perpendicularity of information acquisition is increased; meanwhile, the limitation of the range is set according to individual differences of different users, and the analysis and differentiation of the user profile are limited, so that the user experience and the user information acquisition efficiency are greatly improved.
[ description of the 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 application, illustrate and together with the description serve to explain the invention, if necessary:
fig. 1 is a flowchart of the user profile-based information acquisition method of the present invention.
[ detailed description ] of the invention
The present invention will now be described in detail with reference to the drawings and the specific embodiments thereof, wherein the exemplary embodiments and the description are for the purpose of illustrating the invention only and are not to be construed as limiting the invention.
The invention provides a user profile-based information acquisition method, which comprises the following steps:
s1: acquiring a first data end combination based on the type of the information acquisition command; specific: determining a basic data end combination based on the type of the information acquisition, and simplifying the data end combination to acquire a first data end combination;
the data end is used for meeting the main body required by the information acquisition command;
preferably; the data end is a general search engine and various portal websites;
for example: the mobile phone evaluation website can acquire mobile phone related information;
the data end combination is simplified to obtain a first data end combination; the method comprises the following steps: limiting the number of data terminals contained in the data terminal combination to a given number level; the given quantity level is set according to the grasping degree of human beings on information;
s2: acquiring a second data end combination based on the first data end combination; specific: refining the first data end combination according to the user profile to obtain a second data end combination;
the refining of the first data end combination according to the user profile to obtain a second data end combination specifically comprises: calculating the progress degree of the user based on the user profile, and limiting the number of data ends in the first data end combination to be a fixed number if the progress degree is smaller than a progress degree threshold; if the progress degree is greater than the progress degree threshold, limiting the number of data ends in the first data end combination to be the sum of the fixed number and the newly added number;
the number is limited, and specifically comprises the following steps: the high-quality data end in the combination is reserved and the non-high-quality data end is deleted;
the high-quality data end is evaluated according to the scoring, public praise and the like of the data end;
preferably: the progress degree threshold is a preset value, and the preset value is dynamically adjusted according to self feeling of a user in a type of information acquisition process;
the step of calculating the progress degree of the user based on the user profile is specifically as follows: the user profile includes: the user AGE, the education degree GL of the user, the average time length AT acquired by the same information, and the progress degree LD based on the following formula;
bs_at is a reference adjustment value for AT;
wherein FA is a preset value; preferred fa=1; w is an adjustment value, and W is smaller than 1; preferably: w= -0.95;
AGE1 and AGE2 are preset values; preferably: AGE1 = 16.8; AGE2 = 62;
AGE1 and AGE2 are obtained according to big data clustering analysis, and specifically: obtaining two boundary points with time-varying information grasping capability by analyzing the information grasping capability of users in different AGE groups, wherein the information grasping capability is acceptable in the middle area of the two boundary points, and the information grasping capability is obviously reduced in the area outside the boundary points, and the AGEs of the users corresponding to the two boundary points are respectively taken as preset values of AGE1 and AGE 2;
preferably: with the development of human beings and the improvement of the overall quality of human beings, AGE1 and AGE2 are updated along with the development of human beings;
preferably: setting different AGE1 and AGE2 values according to different information acquisition types independently; since information grasping ability of a user is different for different kinds of information acquisition, for example: for modern knowledge, elderly users have a strong information grasping ability because of some indication basis, and vice versa;
preferably: the fixed number is obtained by carrying out regional average person information mastering capability according to big data; for example: the fixed number is 11;
preferably: the fixed number is dynamically adjusted along with the type of the data terminals contained in the first data terminal combination; when the first data terminal combination contains a universal data terminal, the fixed number is set to be a smaller value, and vice versa; the universal data end is a unified search inlet; for example: must be treated and the like;
preferably: the new number is calculated according to the progress degree of the user; calculating the new number ADN based on the following formula;when the progress degree of the user is increased, the learning speed of the user on the information is faster and faster, meanwhile, the available information is reduced rapidly, and a lot of information is already mastered, so that the number of data ends is greatly increased, and the user can rapidly progress along with time and can acquire the needed information;
s3: acquiring required data based on the information acquisition command and the second data terminal combination; specifically, the method comprises the following steps; transmitting the information acquisition command to the plurality of data terminals and receiving information returned by the plurality of data terminals from the plurality of data terminals; presenting the obtained information to a user;
after the information is presented to the user, waiting for user feedback, and adjusting the preset value based on the returned result of the user;
the foregoing description is only of the preferred embodiments of the invention, and all changes and modifications that come within the meaning and range of equivalency of the structures, features and principles of the invention are therefore intended to be embraced therein.
Claims (2)
1. An information acquisition method based on user profile is characterized by comprising the following steps:
s1: determining a first data end combination;
s2: determining a second data end combination based on the first data end combination;
the step S2 is specifically that the first data end combination is refined according to the user profile to obtain a second data end combination;
the data end combination is refined according to the user profile, specifically: calculating the progress degree of the user based on the user profile, and limiting the number of data ends in the data end combination to be a fixed number if the progress degree is smaller than a progress degree threshold; if the progress degree is greater than the progress degree threshold, limiting the number of the data terminals in the data terminal combination to be the sum of the fixed number and the newly added number;
the step of calculating the progress degree of the user based on the user profile is specifically as follows: the user profile includes: the user AGE, the education degree GL of the user, the average time length AT acquired by the same information, and the progress degree LD based on the following formula;
bs_at is a reference adjustment value for AT;
wherein FA is a preset value; w is an adjustment value;
fa=1, w is less than 1;
W＝-0.95；AGE1＝16.8；AGE2＝62。
2. the user profile-based information acquisition method according to claim 1, wherein the new number is calculated according to the degree of progress of the user; calculating the new number ADN based on the following formula;
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1555020A (en) * | 2003-12-23 | 2004-12-15 | 无敌科技(西安)有限公司 | Divergent expanding type language study system and method |
| CN105447113A (en) * | 2015-11-13 | 2016-03-30 | 四川九成信息技术有限公司 | Big data based informatiion analysis method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20110213789A1 (en) * | 2010-02-26 | 2011-09-01 | Salesforce.Com, Inc. | System, method and computer program product for determining an amount of access to data, based on a role |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1555020A (en) * | 2003-12-23 | 2004-12-15 | 无敌科技(西安)有限公司 | Divergent expanding type language study system and method |
| CN105447113A (en) * | 2015-11-13 | 2016-03-30 | 四川九成信息技术有限公司 | Big data based informatiion analysis method |
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