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Point-of-Interest Recommendations by Unifying Multiple Correlations
2016In recent years, we have witnessed the development of location-based services which benefit users and businesses. This paper aims to provide a unified framework for location-aware recommender systems with the consideration of social influence, categorical influence and geographical influence for users’ preference.
Ce Cheng, Jiajin Huang, Ning Zhong 0001
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A point of interest recommendation method using user similarity
Web Intelligence, 2018Point of Interest (POI) recommendation aims to recommend places which users have not visited before. In this paper, we proposed a POI recommendation method using user similarity, which assumes that people may be interested in the places that others have been to but they have not visited before.
Jun Zeng 0003 +4 more
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Local Point of Interest Recommendation Based on Probability
2016The popularity of smart phones and the maturity of positioning technology spawn location-based social network (LBSN). The vast amounts of information assigns the location-based social network recommendation system a pivotal role. Current local point of interest recommendation algorithms often encounter two problems: synonymous site recognition and ...
Miao Zhang +3 more
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Unified Point-of-Interest Recommendation with Temporal Interval Assessment
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016Point-of-interest (POI) recommendation, which helps mobile users explore new places, has become an important location-based service. Existing approaches for POI recommendation have been mainly focused on exploiting the information about user preferences, social influence, and geographical influence.
Yanchi Liu +4 more
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Disentangling Geographical Effect for Point-of-Interest Recommendation
IEEE Transactions on Knowledge and Data Engineering, 2022Yingrong Qin +6 more
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Point-of-Interest Group Recommendation with an Extreme Learning Machine
2019With the increasing popularity of location-based social networks (LBSNs), an increasing number of people are sharing their locations with friends through check-in activities. Point-of-interest (POI) recommendation, in which new places are suggested to users, is one of the most important tasks in LBSNs.
Zhen Zhang, Guoren Wang, Xiangguo Zhao
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Decentralized Point-Of-Interest (POI) Recommender Systems
The Next Point-Of-Interest (POI) recommendation has gained prominence with the rapid expansion of Location-Based Social Networks (LBSNs), due to its effectiveness in leveraging historical check-in data to predict users' next visiting POIs. While current centralized POI recommenders based on Recurrent Neural Networks (RNNs) and Graph Neural Networks ...openaire +2 more sources
A systematic review of rehabilitation and exercise recommendations in oncology guidelines
Ca-A Cancer Journal for Clinicians, 2021Julie K. Silver +2 more
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A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation
ACM Transactions on Information Systems, 2022Fabio Crestani +2 more
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