Social networking site user Chinese remark name system recommendation method

Abstract

The invention relates to a social networking site user Chinese remark name system recommendation method applied to social networking sites. The method includes aiming to arrangement of friend remark names, considering the length factors, composition factors and word frequency factors of net names comprehensively, adopting a weighting computation method, and implementing system intelligent recommendation effectively. The method is adaptive to the situation of large amount of users' net name data, the situation of one user owning different net names and the situation of small amount of one user's net name data.

Description

technical field [0001] The invention relates to a system recommendation method for Chinese remark names of social networking site users. Background technique [0002] With the development of Internet technology, the emergence of social networks has brought people closer to each other. In the virtual network world, people use their screen names as their identities to communicate with each other. There are various existing social networking sites. , due to the special situation of the screen name, it does not have a direct connection with the parties themselves. Therefore, in social networking sites, when two people become friends, both parties can set a remark name for each other, so that among many friends, they can accurately know Who is the other party? Among them, when the user sets a remark name for a friend, the existing social networking site system will automatically pop up the remark name recommended for this person, and for this technology, the existing remark name ...

AI Technical Summary

Problems solved by technology

[0002] With the development of Internet technology, the emergence of social networks has brought people closer to each other. In the virtual network world, people use their screen names as their identities to communicate with each other. There are various existing social networking sites. , due to the special situation of the screen name, it does not have a direct connection with the parties themselves. Therefore, in social networking sites, when two people become friends, both parties can set a remark name for each other, so that among many friends, they can accurately know Who is the other party? Among them, when the user sets a remark name for a friend, the existing social networking site system will automatically pop up the remark name recommended for this person, and for this technology, the existing remark name recommendation method is mainly based on the social network. Other people carry out statistical weighting on the person's remark name and the frequency of appearance of the person's remark name in different social circles. The higher the weight of the most frequent occurrence, the closer to the real person's name; this method is relatively simple and can be used in It is effective when there is a large amount of network nickname data, but for people with relatively complicated interpersonal relationships, they have many different names, so the effect based on statistics is not ideal, and various nicknames and honorifics will interfere with word frequency Statistical effect; at the same time, when there are relatively few online nicknames, the statistical effect is also not ideal

Therefore, the existing system note name recommendation method can no longer be applied to the existing social network

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