TPR-TF: time-aware point of interest recommendation model based on tensor factorization

被引：0
|
作者：
Wang N. [1 ,2 ]
Li J.-B. [1 ,2 ]
Liu Y. [1 ,2 ]
Zhang Y.-J. [1 ,2 ]
Zhong Y.-L. [1 ,2 ]
机构：
[1] School of Computer Science and Technology, Heilongjiang University, Harbin
[2] Key Laboratory of Database and Parallel Computing, Heilongjiang University, Harbin
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2019年 / 49卷 / 03期
关键词：
Computer application; Point of interest(POI) recommendation; Social relationship; Tensor factorization; Time-aware;
D O I：
10.13229/j.cnki.jdxbgxb20180193
中图分类号：
学科分类号：
摘要：
With the rapid growth of the location-based social networks, Point of Interest (POI) recommendation has become an important research topic in the field of data mining. Existing approaches for POI recommendation task do not reasonably utilize the time sensitivity of POI recommendations and have not taken full account of the user's behavior preferences at different time periods, causing the POI recommendation performance is poor. Firstly, this paper studies the POI recommendation problem of time sensitivity and proposes a time dynamic partition algorithm based on hierarchical clustering. Through partition the fine grain of time, the result of the experiment is more reasonable and effective than the previous experiments which partition time is evenly given by experience. Secondly, by combining the time-aware recommendation with the influence of the user's direct friendship and potential friendship, the paper expands the scope of user's social influence, and then further improves the POI recommendation performance. Lastly, using the method of randomly selecting POIs by the frequency distribution of check-ins, it improves the classic BPR method. Experimental results on the two datasets indicate that the TPR-TF model is superior to the current mainstream POI recommendation models, in terms of precision and recall. © 2019, Jilin University Press. All right reserved.
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页码：920 / 933
页数：13
相关论文
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