@inproceedings{b52c9c9cf5ee4688bb4246e6601121f2,
title = "Modeling heterogeneous influences for point-of-interest recommendation in location-based social networks",
abstract = "The huge amount of heterogeneous information in location-based social networks (LBSNs) creates great challenges for POI recommendation. User check-in behavior exhibits two properties, diversity and imbalance. To effectively model both properties, we propose an Aspect-aware Geo-Social Matrix Factorization (AGS-MF) approach to exploit various factors in a unified manner for more effective POI recommendation. Specifically, we first construct a novel knowledge graph (KG), named as Aspect-aware Geo-Social Influence Graph (AGS-IG), to unify multiple influential factors by integrating the heterogeneous information about users, POIs and aspects from reviews. We design an efficient meta-path based random walk to discover relevant neighbors of each user and POI based on multiple influential factors. The extracted neighbors are further incorporated into AGS-MF with automatically learned personalized weights for each user and POI. By doing so, both diversity and imbalance can be modeled for better capturing the characteristics of users and POIs. Experimental results on several real-world datasets demonstrate that AGS-MF outperforms state-of-the-art methods.",
keywords = "Location-based social network, POI recommendation, Knowledge graph, Matrix factorization",
author = "Qing Guo and Zhu Sun and Jie Zhang and Yin-Leng Theng",
year = "2019",
doi = "10.1007/978-3-030-19274-7_6",
language = "English",
isbn = "9783030192730",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "72--80",
editor = "Maxim Bakaev and Flavius Frasincar and In-Young Ko",
booktitle = "Web Engineering - 19th International Conference, ICWE 2019, Proceedings",
address = "United States",
note = "19th International Conference on Web Engineering, ICWE 2019 ; Conference date: 11-06-2019 Through 14-06-2019",
}