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A User-Side POIs Mobile Recommender System
2021Recommending pertinent Place Of Interests (POIs) is a desirable feature for mobile users, and which is generally served by for-profit proprietary platforms, such as Yelp, TripAdvisor, etc. However, the siloed design of these platforms raises today several issues about privacy, user data portability, and algorithm transparency.
Mohamed Boubenia +2 more
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Property Analysis of Stay Points for POI Recommendation
2021Stay points extracted from trajectories are often treated as points of interest (POI) in the data preprocessing of POI recommendations. Popularity (i.e., the number of visits) is one of the important features to distinguish the value of different POIs, especially for tourists traveling in an unfamiliar city.
Junjie Sun +2 more
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Current location-based next POI recommendation
Proceedings of the International Conference on Web Intelligence, 2017Availability of large volume of community contributed location data enables a lot of location providing services and these services have attracted many industries and academic researchers by its importance. In this paper we propose the new recommender system that recommends the new POI for next hours.
Shokirkhon Oppokhonov +2 more
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A Context-Aware POI Recommendation
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON), 2021Tipajin Thaipisutikul, Ying-Nong Chen
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Online meta-learning for POI recommendation
GeoInformatica, 2022Yao Lv +7 more
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Context-Aware Personalized POI Sequence Recommendation
2019The Point Of Interest (POI) sequence recommendation applies to scenarios like itinerary and travel route planning which belongs to the class of NP-hard problem. What’s more, the external environment like the weather, time can affect the user’s check-in behavior such as people prefer to check-in in ice cream shop when the temperature is higher.
Jing Chen 0003, Wenjun Jiang
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ALGeoSPF: A Hierarchical Factorization Model for POI Recommendation
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018The task of points-of-interest (POI) recommendations has become an essential feature in location-based social networks (LBSNs) with the significant growth of shared data on LBSNs. However it remains a challenging problem, because the decision process of a user choosing to visit a POI depends on numerous factors.
Griesner, Jean-Benoît +3 more
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How to Improve the Recommendation’s Accuracy in POI Domains?
2020Nowadays, Recommender Systems (RS) have been applied in most of Location-Based Social Networks (LBSNs). In general, these RSs aim to provide the best points-of-interest (POIs) to users, encouraging them to visit new places or explore more of their preferences. Despite the researches advances in this scenario, there is an opportunity for improvements in
Luiz Chaves +5 more
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Multi-factor Fusion POI Recommendation Model
2020In the context of the rapid development of location-based social networks (LBSN), point of interest (POI) recommendation becomes an important service in LBSN. The POI recommendation service aims to recommend some new places that may be of interest to users, help users to better understand their cities, and improve users’ experience of the platform ...
Xinxing Ma +3 more
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Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
IEEE Transactions on Knowledge and Data Engineering, 2022Xiaofang Zhou, Pengpeng Zhao, Jiajie Xu
exaly