Results 11 to 20 of about 10,323,308 (323)
IEEE Access, 2021 In this paper, one dimensional mathematical model of convective-conductive-radiative fins is presented with thermal conductivity depending on temperature.
Naveed Ahmad Khan +3 more
doaj +1 more source
ACM Transactions on Intelligent Systems and Technology, 2023 The provision of privacy-preserving recommendations for geological tourist attractions is an important research area. The historical check-in data collected from location-based social networks (LBSNs) can be utilized to mine their preferences, thereby ...
Yuwen Liu +6 more
semanticscholar +1 more source
Point-of-Interest Recommender Systems Based on Location-Based Social Networks: A Survey from an Experimental Perspective [PDF]
ACM Computing Surveys, 2021 Point-of-Interest recommendation is an area of increasing research and development interest within the widely adopted technologies known as Recommender Systems.
Pablo Sánchez, Alejandro Bellogín
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics, 2023 Extensive user check-in data incorporating user preferences for location is collected through Internet of Things (IoT) devices, including cell phones and other sensing devices in location-based social network.
Yuwen Liu +7 more
semanticscholar +1 more source
Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation [PDF]
Information Processing & Management, 2022 Recommender Systems (RSs) aim to model and predict the user preference while interacting with items, such as Points of Interest (POIs). These systems face several challenges, such as data sparsity, limiting their effectiveness.
Kosar Seyedhoseinzadeh +3 more
semanticscholar +1 more source
ISPRS International Journal of Geo-Information, 2021 In location-based social networks (LBSNs), point-of-interest (POI) recommendations facilitate access to information for people by recommending attractive locations they have not previously visited.
Hang Zhang, Mingxin Gan, Xi Sun
doaj +1 more source
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation [PDF]
International Workshop on Algorithmic Bias in Search and Recommendation, 2022 Point-of-Interest (POI) recommender systems provide personalized recommendations to users and help businesses attract potential customers. Despite their success, recent studies suggest that highly data-driven recommendations could be impacted by data ...
Hossein A. Rahmani +3 more
semanticscholar +1 more source
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences
International Joint Conference on Artificial Intelligence, 2022 Existing studies on next point-of-interest (POI) recommendation mainly attempt to learn user preference from the past and current sequential behaviors. They, however, completely ignore the impact of future behaviors on the decision-making, thus hindering
Lu Zhang +5 more
semanticscholar +1 more source
ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation [PDF]
International Conference on Information and Knowledge Management, 2021 Point-of-Interest (POI) recommendation is an important task in location-based social networks. It facilitates the relation modeling between users and locations.
Qiang Cui +4 more
semanticscholar +1 more source
ISPRS International Journal of Geo-Information, 2022 There is a Chinese proverb which states “Where there are Shaxian Snacks, there are generally Lanzhou Ramen nearby”. This proverb reflects the characteristics of spatial clustering in the catering industry.
Yan Zhou +4 more
doaj +1 more source