Mobile social network friend recommending method and system based on geographical position change

Abstract

The invention discloses a mobile social network friend recommending method and system based on geographical position change, belonging to the technical field of internet. The method comprises the steps of firstly, periodically recording geographical position information of a user, storing the geographical position information into a geographical position database, processing and converting the information; secondly, classifying all historical geographical positions where the user passes, and recognizing that the historical geographical positions belong to passing ways, short stay, long stay or first arrival; thirdly, recognizing whether the current geographical position of the user is changed or not, if so, recording the time length of change, and selectively recommending old friends or new friends according to different time length; and finally, judging the class of the current geographical position according to the recommending result, and showing different recommending results. The method and the system can assist the user in recommending new friends at new places and recommending old friends during outgoing to maintain the old friend relationship.

Description

technical field [0001] The invention belongs to the technical field of the Internet, and in particular relates to a method and system for recommending friends in a mobile social network based on geographical location changes. Background technique [0002] With the increase of population mobility in modern society, more and more people visit different places in a short period of time, such as business trips, tourism, etc., and need to visit relatives and friends who have known each other in different places; Moving to a different place for a long time requires the rapid establishment of interpersonal relationships in a different place. At present, social networks help users achieve the above-mentioned goals through traditional friend recommendation systems and methods. [0003] The existing friend recommendation method is an algorithm based on node similarity. This method cannot accurately identify the user's geographical location and life changes, so the recommendation eff...

AI Technical Summary

Problems solved by technology

This method cannot accurately identify the user's geographical location and life changes, so the recommendation effect is not good

For example, when a student graduates from university and goes to work in a new city, the friend recommendation algorithm often still recommends friends related to the university. This kind of recommendation effect is very poor and cannot meet the needs of making friends after the geographical location changes.

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