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A POI recommendation method based on heterogeneous network

A heterogeneous network, recommendation method technology, applied in special data processing applications, instruments, electronic digital data processing and other directions, can solve the problem of data sparseness and low user trust, POI recommendation accuracy is not high, there is no accurate integration and other problems

Active Publication Date: 2019-01-15
成都集致生活科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] The existing personalized POI recommendation methods do not use the influence of multiple factors in CBSN, and do not accurately integrate the influence of all the above aspects. Therefore, the problems of data sparseness and low user trust in the recommendation process cannot be solved. The recommendation accuracy of the user's POI is not high

Method used

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  • A POI recommendation method based on heterogeneous network
  • A POI recommendation method based on heterogeneous network
  • A POI recommendation method based on heterogeneous network

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Embodiment Construction

[0066] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments.

[0067] In this example, if Figure 1-5 As shown, a POI recommendation method based on heterogeneous network, the method includes the following steps:

[0068] S1. Collect data from location-based social network LBSN (Foursquare) and communication-based social network CBSN (Twitter, Facebook) service websites, and use some of the users to have accounts in these two websites, so that the two websites are associated , build a heterogeneous network;

[0069] S2. Use the DBSCAN clustering algorithm to divide all POIs in the LBSN to form multiple geographic regions r, and use the Girvan-Newman algorithm to divide all users according to the friendship between users in the CBSN to form multiple communities c; And the same user can belong to multiple com...

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Abstract

The invention discloses a POI recommendation method based on heterogeneous network, as to the technical field recommend by the POI, a new probability generation model of comment sentences is established, this model can deal with heterogeneous data across websites, and consider the influence of geographic region division, user community division, review content and user interaction behavior on POIprediction results, and solve the problem of data sparseness and low user trust in the recommendation process, which can significantly improve the accuracy of POI recommendation.

Description

technical field [0001] The invention relates to the technical field of POI recommendation, in particular to a heterogeneous network-based POI recommendation method. Background technique [0002] With the rise of social media, such as location-based social network service (LBSN), Weibo and various mobile social media (such as WeChat, Streetside, etc.), the Internet is becoming more and more real. The data and offline people's activities have begun to converge. On the one hand, the recommendation system can help users make choices, discover valuable items and offline services they are interested in, and improve user experience; on the other hand, items and services can be displayed to users who are interested in them through social media platforms In front of it, so as to achieve a win-win situation for users and item providers. [0003] However, there are many difficulties in POI recommendation, the following two are the most notable: first, the problem of data sparsity. T...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06F16/9537G06Q50/00
CPCG06Q50/01
Inventor 熊熙李元媛乔少杰李斌勇沈杰朱咸仰姚瑶
Owner 成都集致生活科技有限公司
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