Method and system for business point promotion in social network based on geographic community

Abstract

The present invention provides a method and system for promoting business points in a social network based on geographical communities. Based on the big data of historical location information released by users in social networks, the geographical communities with densely distributed users and the belonging relationship between users and geographical communities are mined; Based on the user's social relationship, the geographical distribution of users in the geographic community and the location of the promoted commercial point, establish a dissemination model of the information of the promoted commercial point in the geographic community; use the greedy algorithm to select multiple geographical locations that can bring the maximum expected promotion benefits communities, and use the densely distributed locations of the users in the multiple geographical communities as the initial placement locations for the promotional information of the commercial points. Utilize the geographic communities that exist widely in real life to determine the stable location distribution of users in the geographic community, so as to determine the location distribution of target users for the commercial point; based on the dense distribution of users in the geographic community, provide the targeted placement of promotional advertisements for the commercial point The placements that provide the greatest expected return.

Description

technical field [0001] The invention relates to the fields of big data and social network research, specifically, a method and system for maximizing the promotion of business points in social networks based on geographical communities are designed. Background technique [0002] In social networks with content sharing functions such as WeChat, QQ, Weibo, Douyin, etc., commercial point promotion is to use the shared content with location information posted by users in the social network to attract as many customers as possible for the commercial point. Specifically, by motivating some initial promotion users to publish the promotional information of the commercial point in the social network, to attract their social friends to patronize the commercial point; The commercial point. Because users are more willing to accept advertisements spread by their social friends, a large number of users will be affected by the word-of-mouth effect, be attracted by the commercial point and ...

AI Technical Summary

Problems solved by technology

However, in the actual location promotion, the target users of the business point are often users who are geographically close to them. However, in the traditional promotion method for individual users, the location attributes used for individual users are sparse and changeable. It is impossible to accurately locate the target users at scale; in addition, the information dissemination caused by individual users in the social network is limited, and it is often impossible to achieve large-scale promotion of commercial points by motivating a small number of initial promotion users under a limited incentive budget

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