Exploiting implicit social relationship for point-of-interest recommendation

Haifeng Zhu, Pengpeng Zhao, Zhixu Li, Jiajie Xu, Lei Zhao, Victor S. Sheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The emergence of Location-based Social Network (LBSN) services allows users to share their check-ins, providing an excellent opportunity to build personalized Point-of-Interest (POI) recommender systems. Social network data which contains important context information has been demonstrated to have a significant effect on improving recommendation performances. However, explicit social relationships are usually partially available or even unavailable. The gap between the importance of social relationships and their partial availability or unavailability motivates us to study POI recommendation with implicit social relationships, which can well characterize users’ preferences for POIs on both space and content. In this paper, we first extract implicit social relationships and estimate connection strengths by analyzing co-occurrences in both space and time with people’s history check-in data. Then, we propose a new model named Implicit Social Relationship Enhanced POI Recommendation (ImSoRec) to incorporate implicit and explicit social relationships for POI recommendation. We conducted extensive experiments on two large-scale real-world location-based social networks datasets, and our experimental results show that our proposed ImSoRec model outperforms the state-of-the-art methods.

Original languageEnglish
Title of host publicationWeb and Big Data - Second International Joint Conference, APWeb-WAIM 2018, Proceedings
EditorsYi Cai, Yoshiharu Ishikawa, Jianliang Xu
PublisherSpringer-Verlag
Pages280-297
Number of pages18
ISBN (Print)9783319968926
DOIs
StatePublished - 2018
Event2nd Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2018 - Macau, China
Duration: Jul 23 2018Jul 25 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10988 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2018
CountryChina
CityMacau
Period07/23/1807/25/18

Keywords

  • Implicit social relationship
  • POI recommendation
  • Recommendation

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  • Cite this

    Zhu, H., Zhao, P., Li, Z., Xu, J., Zhao, L., & Sheng, V. S. (2018). Exploiting implicit social relationship for point-of-interest recommendation. In Y. Cai, Y. Ishikawa, & J. Xu (Eds.), Web and Big Data - Second International Joint Conference, APWeb-WAIM 2018, Proceedings (pp. 280-297). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10988 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-96893-3_21