A method for mining friend relationships in social networks based on user behavior
A social network and user technology, applied in network data retrieval, data processing applications, website content management, etc., can solve problems such as unmaintainability, and achieve high prediction results and good prediction results
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[0035] The present invention will be further described below in conjunction with the accompanying drawings.
[0036] refer to Figure 1 ~ Figure 3 , a method for mining friend relationships in social networks based on user behavior. The present invention uses yelp official data to carry out modeling and analysis of user friend recommendation systems. The original data records the historical behavior information of each user. This patent is used to study yelp users For example, its behavior data includes information such as the user's dining restaurant, dining time, dining location (city, state, latitude and longitude), and restaurant taste. The friend relationship between users is known in the user data. If two users are friends, the label data is set to 1, otherwise it is 0. The friend relationship data between users is only used as the training and testing recommendation system model. Labeled data, not used to extract features.
[0037] The present invention is divided int...
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