Offline friend recommendation method based on indoor living circle

Abstract

The invention discloses an offline recommendation method based on an indoor living circle. The method includes: constructing the indoor electronic maps of a plurality of business districts, and appointing the attribute label of each area corresponding to the corresponding indoor electronic map according to the nature of each area; for each user, using the indoor electronic maps with the attribute labels to obtain the historical behavior trajectory of a current user, determining the indoor living circle and living circle model of the current user according to the historical behavior trajectory, predicting the behavior trajectory of the current user according to the indoor living circle and living circle model of the current user, and recommending users whose predicted behavior trajectory is similar to that of the current user to the current user. The method has the advantages that the living habits and living circle of the user are analyzed through the behavior data of the user, the subjective behavior intension and objective behavior data of the user are combined, the method is independent of the social circle of the user, the real living style of the user can be well reflected, and the method pays more attention to the mining of the information of the living circle of the user.

Description

technical field [0001] The invention relates to the field of social networks, in particular to a method for recommending offline friends based on an indoor life circle. Background technique [0002] In recent years, with the rapid development of social networks, a large number of widely used social networking sites have emerged in China, such as Sina Weibo and Renren.com. The rapid rise of social networking sites and the explosive growth of the number of users in the first half of 2011 have led to a sharp increase in the demand for many applications based on social networking sites. In order to improve user experience, major sites are constantly improving the functions of social networking to meet the all-round needs of users. [0003] In the development process of social network, the most important problem is the expansion of user relationship, so that the nodes in the network increase in an orderly manner, which can play a positive role in promoting the healthy development...

AI Technical Summary

Problems solved by technology

On the other hand, the current mainstream friend recommendation methods are all based on virtual online social networks, which makes the communication methods and forms between users extremely limited, which makes it difficult for users to communicate deeply. Its social circle is also difficult to spread, making it very easy for a user-centered social network to converge into a smaller social circle

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