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Group and place recommendation method based on location and social relationship

A technology of social relationship and recommendation method, applied in the field of group and location recommendation based on location and social relationship, which can solve the problems of high computational complexity and low recommendation accuracy.

Inactive Publication Date: 2016-10-26
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to address the disadvantages of low recommendation accuracy and high computational complexity in the existing recommendation technology

Method used

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  • Group and place recommendation method based on location and social relationship
  • Group and place recommendation method based on location and social relationship
  • Group and place recommendation method based on location and social relationship

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Embodiment Construction

[0055] The invention will be further described in detail below in conjunction with the accompanying drawings of the specification.

[0056] The main symbols used in the present invention and their meanings include:

[0057]

[0058]

[0059] The purpose of the present invention is to provide a method for group and place recommendation based on location and social relationship. The method is divided into two stages: social group generation and location recommendation within the group. In the stage of generating social groups, through the collection of user check-in information in the location-based social network, locations and user data with poor validity are eliminated, and the user's check-in data is finally obtained. Then use the Pearson correlation coefficient to measure the check-in similarity with the check-in data shared by users, calculate the check-in similarity between users, and construct a user check-in similarity network. Then according to the check-in similarity net...

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Abstract

The invention discloses a group and place recommendation method based on locations and social relationships. The group and place recommendation method comprises the steps of: acquiring user check-in information in an LBSN, removing places and user data with poor effectiveness, and finally acquiring check-in data of users; utilizing a Pearson correlation coefficient, measuring check-in similarity based on common check-in data of the users, calculating a check-in similar degree among the users, and establishing a user check-in similar degree network; identifying different communities by utilizing a discrete particle swarm optimization method according to the user check-in similar degree network; and acquiring a friend list according to accounts of a user social network, forming social adjacent relationships of users in communities, finally generating a social group, recommending the social group to target users and recommending places to the target users by adopting the collaborative filtering recommendation method. The community finding method is simple and easy to operate, and the community dividing speed is fast. By adopting the method of combining the social group with place recommendation, the complexity of the method is reduced, and the recommendation precision is improved.

Description

Technical field [0001] The invention belongs to a data processing method specially adapted to a specific field, and specifically relates to a group and place recommendation method based on location and social relationship. Background technique [0002] With the development of smart phones and positioning technology, Location Based Social Network (LBSN) has been widely used. In this environment, how to find effective information that users need on mobile phones has become an urgent problem to be solved. The application of the recommendation system can effectively solve this problem, and actively push the things of interest to users, such as friends, locations, and entertainment items. Through the combination with mobile social networks, a large amount of user attribute information, such as gender, age, hobbies, etc., can be obtained, so that the recommendation system can accurately predict the things users are interested in. In recent years, with the rise of location-based socia...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/00
CPCG06Q50/01
Inventor 吕如恒王玉峰
Owner NANJING UNIV OF POSTS & TELECOMM
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