Results 231 to 240 of about 243,536 (257)
Some of the next articles are maybe not open access.
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
openaire +1 more source
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
openaire +1 more source
Disentangling Geographical Effect for Point-of-Interest Recommendation
IEEE Transactions on Knowledge and Data Engineering, 2022Yingrong Qin +6 more
openaire +1 more source
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
openaire +1 more source
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
Personalization Method for Tourist Point of Interest (POI) Recommendation
2006Today, travelers are provided large amount information which includes Web sites and tourist magazines about introduction of tourist spot. However, it is not easy for users to process the information in a short time. Therefore travelers prefer to receive pertinent information easier and have that information presented in a clear and concise manner. This
Eui-young Kang, Hanil Kim, Jungwon Cho
openaire +1 more source
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation
ACM Transactions on Information Systems, 2022Fabio Crestani +2 more
exaly
Toward Point-of-Interest Recommendation Systems: A Critical Review on Deep-Learning Approaches
Electronics (Switzerland), 2022Mehrdad Jalali +2 more
exaly