Activity recommendation method based on user interest degree and geographic position

Abstract

The invention discloses an activity recommendation method based on user interest degree and geographic position. The method comprises the following steps: firstly obtaining the corresponding right on a Meetup API open platform and extracting the corresponding group data information, activity data information and member data information through a group interface, an activity interface and a member interface; then primarily screening an activity dataset interested by the user by using a vector decomposition model according to the extracted dataset information; then combining the social relationship of the user and further screening the activity dataset interested by the user by using Pearson correlation coefficients; subsequently dividing the activity generating geographic position into regions by considering the influence of the activity generating geographic position on the problem whether the user takes part in one activity, and determining the activity dataset which is finally interested and attended by the user by using an optimization method; and finally recommending the activity information to related users. The method can be used for efficiently recommending suitable activities to the users from a large amount of activity data.

Description

technical field [0001] The invention relates to a method for recommending social activities to users, and belongs to the technical field of information networks. Background technique [0002] In 2004, Facebook was born in the United States, followed by the upsurge of social networking sites sweeping the world, and domestic SNS sites represented by Sina Weibo, Tencent Weibo, Renren, etc. have sprung up like mushrooms after rain. At present, new social networking sites appear and disappear every day on the Internet. At the same time, there are also a large number of social networking sites for various interests and hobbies. With the continuous growth of Facebook groups and the high efficiency of the Internet, people begin to realize There is still a lot of market potential for social products that go beyond hobbies. Therefore, a website that can effectively transform online activities and interactions into offline positive communication, social networking and services was bor...

AI Technical Summary

Problems solved by technology

Although these studies have taken into account the impact of heterogeneous social relationships and the geographical location of activities on users, based on the group-event structure of the Meetup website, users must first join the group to participate in an activity

This feature makes the current research not fully applicable to the Meetup website

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