Results 1 to 10 of about 243,162 (261)
Bidirectional Trust-Enhanced Collaborative Filtering for Point-of-Interest Recommendation [PDF]
Sensors, 2023 A personalized point-of-interest (POI) recommender system is of great significance to facilitate the daily life of users. However, it suffers from some challenges, such as trustworthiness and data sparsity problems.
Jingmin An, Wei Jiang, Guanyu Li
doaj +2 more sources
Successive Point-of-Interest Recommendation With Local Differential Privacy [PDF]
IEEE Access, 2021 A point-of-interest (POI) recommendation system performs an important role in location-based services because it can help people to explore new locations and promote advertisers to launch advertisements at appropriate locations.
Jong Seon Kim +2 more
doaj +3 more sources
Time Aware Point-of-interest Recommendation [PDF]
Jisuanji kexue, 2021 In location-based social networks (LBSN),users share their location and content related to location information.Point-of-interest (POI) recommendation is an important application in LBSN which recommends locations that might be of interest to users ...
WANG Ying-li, JIANG Cong-cong, FENG Xiao-nian, QIAN Tie-yun
doaj +2 more sources
Exploring IoT Location Information to Perform Point of Interest Recommendation Engine: Traveling to a New Geographical Region [PDF]
Sensors, 2019 With the development of wireless Internet and the popularity of location sensors in mobile phones, the coupling degree between social networks and location sensor information is increasing.
Xu Yang +4 more
doaj +2 more sources
Personalized Context-Aware Point of Interest Recommendation [PDF]
ACM Transactions on Information Systems, 2018 Personalized recommendation of Points of Interest (POIs) plays a key role in satisfying users on Location-Based Social Networks (LBSNs). In this article, we propose a probabilistic model to find the mapping between user-annotated tags and locations’ taste keywords.
Mohammad Aliannejadi, Fabio Crestani
exaly +4 more sources
Exploiting Spatial and Temporal for Point of Interest Recommendation
Complexity, 2018 An increasing number of users have been attracted by location-based social networks (LBSNs) in recent years. Meanwhile, user-generated content in online LBSNs like spatial, temporal, and social information provides an ever-increasing chance to study the ...
Jinpeng Chen +5 more
doaj +2 more sources
Spatio-temporal intention learning for recommendation of next point-of-interest
Geo-spatial Information ScienceNext point-of-interest (POI) recommendation has been applied by many internet companies to enhance the user travel experience. Recent research advocates deep-learning methods to model long-term check-in sequences and mine mobility patterns of people to ...
Hao Li +4 more
doaj +3 more sources
Contextualized Point-of-Interest Recommendation [PDF]
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020 Point-of-interest (POI) recommendation has become an increasingly important sub-field of recommendation system research. Previous methods employ various assumptions to exploit the contextual information for improving the recommendation accuracy. The common property among them is that similar users are more likely to visit similar POIs and similar POIs ...
Peng Han 0005 +6 more
openaire +1 more source
Review of Point of Interest Recommendation Systems in Location-Based Social Networks [PDF]
Jisuanji kexue yu tansuo, 2022 Point of interest recommendation is recently one of the hotspots in the field of location-based social networks and recommendation systems. Understanding the research status of the point of interest recommendation in location-based social networks can ...
CHEN Jiangmei, ZHANG Wende
doaj +1 more source
Point-of-interest lists and their potential in recommendation systems [PDF]
Information Technology & Tourism, 2021 Location based social networks, such as Foursquare and Yelp, have inspired the development of novel recommendation systems due to the massive volume and multiple types of data that their users generate on a daily basis. More recently, research studies have been focusing on utilizing structural data from these networks that relate the various entities ...
Giorgos Stamatelatos +4 more
openaire +1 more source