Matching degree calculation method, device and user equipment

Abstract

The embodiment of the present invention discloses a matching degree calculation method for improving the accuracy of matching degree among users in a social network. The method comprises the following steps: outputting test information to the user under test, the test information corresponding to at least one social dimension for social matching, and the test information includes at least two items representing the attribute of the social dimension; obtaining the first option result of the test information fed back by the user to be tested; calculating the first social information of the user to be tested according to the first option result; determining the user matching degree between the user to be tested and the target user according to the first social information and the second social information of a target user, wherein the second social information is obtained by calculating the second option result of the test information fed back by the target user. The embodiments of the present invention also provide an device and user equipment capable of improving the accuracy of matching between users in order to realize mutual recommendation among users who may be truly matched.

Description

technical field [0001] The present invention relates to Internet technology, in particular to a matching degree calculation method, device and user equipment. Background technique [0002] With the rapid development of Internet technology, the ways for people to communicate with each other have become faster and more colorful. Social applications such as Weibo, QQ, and WeChat have become the main media for people to socialize. Social behavior on these social media constitutes a social network. [0003] In a social network, users can exchange information with each other to realize communication between users. Generally speaking, when a user needs to exchange information with another user, the two users need to establish an A corresponding mapping relationship, such as a friend relationship, can only realize information interaction in the established communication connection. With the rapid development of social networks, the number of users in social networks is also increa...

AI Technical Summary

Problems solved by technology

However, first of all, when a user registers for a social application, the user's personal profile information itself is inaccurate, so that the matching degree between users is inaccurate, and the corresponding social application recommends other users to a large extent. They may not really be potential friends in the social sense of the user. Secondly, the influencing factors considered in user recommendation are relatively single, and the information considered is relatively superficial and shallow, which makes the matching degree between users low, so the recommended The accuracy of users is not high. For example, user recommendation is based on the influencing factor of movie preferences. Suppose users who like the movie "Titanic" have A, B, and C. Among them, A may like the movie industry of this movie Special effects technology, B may like the actor’s performance, and C may be a sailing enthusiast, but if A, B, and C are recommended to each other based on the fact that A, B, and C all like the same movie, then It is not effective to recommend real matching users to each other

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