Results 261 to 270 of about 1,139,810 (293)

Point-of-Interest Recommendations by Unifying Multiple Correlations

2016
In 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
openaire   +1 more source

Learning geographical preferences for point-of-interest recommendation

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013
The problem of point of interest (POI) recommendation is to provide personalized recommendations of places of interests, such as restaurants, for mobile users. Due to its complexity and its connection to location based social networks (LBSNs), the decision process of a user choose a POI is complex and can be influenced by various factors, such as user ...
Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong
openaire   +1 more source

Textual-geographical-social aware point-of-interest recommendation

The Journal of China Universities of Posts and Telecommunications, 2016
Abstract The rapid development of location-based social networks (LBSNs) has provided an unprecedented opportunity for better location-based services through point-of-interest (POI) recommendation. POI recommendation is personalized, location-aware, and context depended. However, extreme sparsity of user-POI matrix creates a severe challenge. In this
Ren Xingyi, Song Meina, E Haihong, Song Junde   +3 more
openaire   +1 more source

Local Point of Interest Recommendation Based on Probability

2016
The 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 ...
Zhang Miao, Yin Shi-Qun, Sun Meng-Meng, Gao Sheng   +3 more
openaire   +1 more source

Utilizing Context for Novel Point of Interest Recommendation

2017
Recommender systems are a modern solution for suggesting new items to users. One of their uses is for novel point of interest recommendation, recommending locations to a user which they have not visited. This can be applied to a location-based social network, which contains information about their users' travel history and social connections.
openaire   +1 more source

Point-of-Interest Recommender Systems Based on Location-Based Social Networks: A Survey from an Experimental Perspective

ACM Computing Surveys, 2022
Pablo Sanchez, Alejandro Bellogin
exaly  

Point-of-interest Recommendation using Deep Semantic Model

Expert Systems with Applications, 2023
Ziwei Wang, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou   +4 more
openaire   +1 more source

Clinical practice guideline and expert consensus recommendations for rehabilitation among children with cancer: A systematic review

Ca-A Cancer Journal for Clinicians, 2023
Allison J L'hotta, Allison A King
exaly  

Disentangling Geographical Effect for Point-of-Interest Recommendation

IEEE Transactions on Knowledge and Data Engineering, 2022
Yingrong Qin, Chen Gao, Yue Wang, Shuangqing Wei, Depeng Jin, Jian Yuan, Lin Zhang   +6 more
openaire   +1 more source

A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation

ACM Transactions on Information Systems, 2022
Hossein A Rahmani, Mohammad Alian Nejadi, Mitra Baratchi   +2 more
exaly