Method and system for providing information in social network

Abstract

The invention discloses an information provision method and an information provision system for a social network. The method comprises the following steps of: acquiring the social behavior information of a first user and a second user in a real world, wherein social behaviors comprise meeting, traveling together or passing-by; and suggesting social network related information to the first user and / or the second user by combining the social behavior information in the real world. By the method and the system, virtual social contact and social contact in the real world can be well fused, the user can be prevented from obtaining a great amount of invalid information, and the waste of system resources of a mobile communication terminal also can be avoided.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an information providing method and system in a social network. Background technique [0002] At present, people's network social activities are all completed in front of the computer through the network, that is to say, everyone logs into the same social network system, and completes adding or following friends through system recommendation or friend recommendation or self-retrieval. Operation, this friend adding is an asynchronous offline social behavior. While this realization method brings convenience to people to make friends, it also hinders real communication between people and dilutes face-to-face interpersonal communication. Therefore, how to integrate virtual social interaction with real-world interaction has become an important issue for social networks. [0003] In the latest technology, short-distance communication can be realized through a client install...

AI Technical Summary

Problems solved by technology

However, this method of only using location information as reference information for network social activities cannot achieve the mutual integration of virtual social and real world social.

From another point of view, when only location information is used as a reference for recommendation, the success rate of recommendation is relatively low, which makes users get more invalid information and wastes system resources

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