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A method and system for obtaining user personalized features
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A technology for users and user groups, applied in the Internet field, can solve problems such as updates, semantic differences and cumbersomeness of personalized information
Inactive Publication Date: 2018-09-28
六六鱼信息科技(上海)有限公司
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Abstract
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Problems solved by technology
The second is the update of personalized information
As time goes by, personal information such as hobbies, work locations, industries, and education levels of users will change, but it is difficult to require most users to update their personalized information in real time
The fourth is the completeness of personalized information
For example, a typical description of a user's hobbies includes several items such as music, baseball, or reading, and it is cumbersome and difficult to require users to describe their areas of interest in a comprehensive and detailed manner.
Method used
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example 1
[0037] Example 1 is a method of manually setting the initial value of the parameter vector of user i (i ∈ U) or document n (n ∈ D). For example, set the total number of features L = 5, feature set K = (science, finance, education, music, sports), set K u (i)=(uw i1 , uw i2 , uw i3 , uw i4 , uw i5 )=(0, 0.00032, 0, 0.00059, 0). That is, the correlation between user i and the "financial" feature is 0.00032, the correlation with the "music" feature is 0.00059, and the correlation with other features is zero. Using a similar approach, one can set the parameter vector K for any document n d (n)=(dw n1 , dw n2 ,...,dw nk ,...,dw nL ) initial value.
[0038] Example 2 is a method of setting the initial value of the parameter vector of user i(i∈U). A set of documents H={...,r,...} submitted by the user i The parameter vector of the document r(r∈H) is K d (r)=(dw r1 , dw r2 ,...,dw rL ), so for each k ∈ K, set uw ik =(σ 1 / s) ∑ (r∈H) [dw rk / (∑ (k∈K) dw rk )], w...
example 2
[0059] Example 2: For the kth user column vector in the user set U (uw 1k , uw 2k ,...,uw Mk ) is normalized as follows. First calculate temp = ∑ (t∈U) uw tk , and for each i∈U compute uw ik =uw ik / temp; then to uw 1k , uw 2k ,...,uw Mk Sort and sort uw according to the sorted result 1k , uw 2k ,...,uw Mk Divide into r groups equally, and take out the smallest data in each group to form a set {s 1 , s 2 ,...,s r}, and s 1 2 r ; finally to uw 1k , uw 2k ,...,uw Mk Proceed as follows: for each i ∈ U, if uw ik 1 , then set uw ik = a; if s m ≤uw ik ≤s m+1 , then set uw ik =g(s m ); if uw ik >s r , then set uw ik =b. where g(s m ) is an increasing function, and g(s m )∈(a, b), 1≤m<r, a and b are non-negative constants, and r is a setting parameter.
example 1
[0067] Example 1: The f 1 [K u (j)] is the uw jk The increasing function of , is ∑ (k∈K) uw jk the decreasing function of ; the f 2 [K u (i)] is the uw ik The increasing function of , is ∑ (k∈K) uw ik the decreasing function.
[0068] Example 2: f 1 [K u (j)]=σ 3 ·uw jk / (∑ (k∈K) uw jk ), f 2 [K u (i)]=σ 4 ·uw ik / (∑ (k∈K) uw ik ), where σ 3 and σ 4 to set constants.
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Abstract
The invention provides a method and a system for acquiring personalized features of a user. The method comprises the steps of automatically updating the personalized features of the user through signals indicating that the user accesses other user and signals indicating that the user accesses files, wherein the personalized features of the user can be updated according to not only the personalized features of the other users accessed by the user but also the personalized features of the files accessed by the user; calculating the personalized sequencing value of every user in a group of users according to a query condition submitted by a query user and the personalized features of every user in the group of users; and sending the identification of at least one user in the group of users to the query user according to the size of the personalized sequencing values. The invention also provides the system for acquiring the personalized features of the user. The method disclosed by the invention can be used for looking up users or user groups with specific features in a social network.
Description
technical field [0001] The present invention relates to the field of the Internet, in particular to a method and system for acquiring user personalized characteristics. Background technique [0002] The main entrance to the early Internet was the portal website. Users entered the online world through web pages manually edited by website staff. Later, due to the development of search technology, people began to use search engines as the main entrance to the Internet, and users can easily retrieve information on the Internet by entering search keywords. In recent years, with the rapid development of applications such as Facebook, Twitter, Google+ and Weibo, social networks are gradually becoming the main entrance to the Internet. [0003] On social networks, users filter and sift Internet information mainly through their own network of relationships. For example, the user obtains the information published or forwarded by the person being followed by adding a follow (follow),...
Claims
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