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Method and device for determining similarity between users
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A technology for determining methods and similarities, applied in the computer field, can solve problems such as the inability to accurately determine users who are similar to users, and achieve the effects of achieving timing and real-time performance, simplifying the calculation process, and improving the calculation speed
Active Publication Date: 2020-01-03
HISENSE
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[0004] The embodiment of the present invention provides a method and device for determining the similarity between users, which aims to reduce the calculation amount of similarity calculation between users, improve the calculation speed of similarity between users, and solve the problem that the similarity between users cannot be accurately determined in the prior art. User's question
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example 1
[0077] The set U of the second user contains only one user U 2 , with reference to the numerical values in Table 1 and Table 2 and Table 3 in this embodiment, the calculated L(U 1 ,U 2 )=0.67 and I(U 1 ,U 2 )=0.25 value into the above formula 3 to calculate P(U 1 ,U 2 ), α is set to 0.5, and P(U 1 ,U 2 ) is:
[0078]
[0079] From the above results, it can be seen that when the above-mentioned second user set U contains only one user U 2 , the obtained similar users are only user U 2 , so the calculated P(U 1 ,U 2 ) value is 1.
example 2
[0081] User U is included in the set U of the second user 2 and user U 3 , still referring to the numerical values in Table 1 and Table 2 and Table 3 in this embodiment, the calculated L(U 1 ,U 2 )=0.67, I(U 1 ,U 2 )=0.25, L(U 1 ,U 3 )=0.41, I(U 1 ,U 3 ) = 0.18 value into the above formula 3 to calculate P (U 1 ,U 2 ) and P(U 1 ,U 3 ), α is set to 0.5, and P(U 1 ,U 2 ) is:
[0082]
[0083] get P(U 1 ,U 3 ) is:
[0084]
[0085] It can be seen from the above results that when the set U of the second user includes the user U 2 and user U 3 When, for these two users, the calculation of similarity with the first user is calculated separately, because P(U 1 ,U 2 ) is greater than P(U 1 ,U 3 ), so the obtained similarity list is sorted from large to small, followed by user U 2 , user U 3 , user U 2 Similar users who are the first user.
[0086] In addition, α in formula 3 can be adjusted according to the obtained similarity results between users. F...
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Abstract
The embodiment of the invention provides a method and a device for determining a similarity between users, relates to the technical field of computers and are used for solving the problem that similar users cannot be exactly determined in prior art. The method comprises the following steps of: acquiring user behavior data of the user within a predetermined period of time, wherein the user behavior data comprise a user behavior dataset which corresponds to a time unit and is included in the predetermined period of time, the user behavior dataset comprises times of executing predetermined user operations on multimedia data by the user; and determining the similarity between a first user and a second user according to the user behavior dataset of the first user and the user behavior dataset of the second user in the time unit of the predetermined period of time. The method and the device are applied to determination of the similarity between the users.
Description
technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for determining similarity between users. Background technique [0002] Nowadays, in this era of rapid Internet development, people have higher and higher demands for video viewing. The multimedia data (such as video, audio, text files, etc.) recommendation service can not only recommend multimedia data for users, but also effectively help users discover It can also recommend relevant friend lists for users among the massive crowds in social networks. Generally, we can capture the similarity of preferences between multiple users by analyzing the user's behavior data on multimedia data, and then recommend similar users to users, and provide users with good recommendation services based on the similar users of the user. [0003] In the prior art, when the terminal calculates the similarity between users, it usually calculates based on the content of user beha...
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