Business point promotion method and system in social network based on geographic community

Abstract

The invention provides a business point promotion method and system in a social network based on the geographic community. The method comprises the steps of mining the geographic communities where theusers are densely distributed and the ownership relationships between the users and the geographic communities; based on the user social relationship, the geographic distribution of the users in thegeographic communities and the positions of the promoted business points, establishing a propagation model of the information of the promoted business points in the geographic communities; using a greedy algorithm to select a plurality of geographic communities which can bring the maximum expected promotion benefit, and taking the dense distribution positions of the users in the plurality of geographic communities as the initial delivery positions of the promotion information of the business point. According to the present invention, the stable position distribution of the users in the geographic communities is determined by utilizing the geographic community widely existing in actual life, so that the position distribution of the target user is determined for a commercial point; and basedon the dense distribution positions of the users in the geographic communities, the delivery position capable of bringing maximum expected benefits is provided for the targeted delivery of the commercial point promotion advertisements.

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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