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Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (8): 30-39    DOI: 10.11925/infotech.2096-3467.2018.0764
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POI Recommendation Based on Geographic and Social Relationship Preferences
Yan Wen1(),Lijian Ma1,Qingtian Zeng2,Wenyan Guo1
1College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
2College of Electronic Communications and Physics, Shandong University of Science and Technology, Qingdao 266590, China
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Abstract  

[Objective] This study tries to improve the POI recommendation based on user’s geographic information and social relationships. [Methods] First, we proposed a MFDR model (MF with Distance-entropy and Refined-social-regularization), which introduced the concept of distance-entropy to refine user’s preferences and the frequency-based user-interest-matrix. Then, we applied the user-relationship-interest-matrix to refine the preferences with their social-relationship. Finally, we used the regularization-based matrix factorization method to factorize the user-preference-matrix and user-relationship-interest-matrix to ensure their consistency. [Results] We examined the new model with Gowalla and Brightkite check-in datasets, and found it outperformed existing POI recommendation algorithms. When the number of latent factors was 10 and the number of recommended POI was 10, the precision and recall of MFDR on Gowalla reached 4.47% and 9.95%. These results were 30.71% and 28.93% higher than those of traditional POI recommendation models. [Limitations] The expeimental datasets need to be expanded. [Conclusions] The proposed MFDR model based on geographical preference refinement and social-relationship preference implicit analysis is an effective way to recommend POI.

Key wordsRecommendation System      Location Based Social Networks      Matrix Factorization      Point of Interest      Entropy     
Received: 15 July 2018      Published: 29 September 2019
ZTFLH:  TP181 G35  
Corresponding Authors: Yan Wen     E-mail: wenyanxxxy@163.com

Cite this article:

Yan Wen,Lijian Ma,Qingtian Zeng,Wenyan Guo. POI Recommendation Based on Geographic and Social Relationship Preferences. Data Analysis and Knowledge Discovery, 2019, 3(8): 30-39.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2018.0764     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2019/V3/I8/30

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