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Point of interest recommendations based on the anchoring effect in location-based social network services

Expert Systems With Applications, 2021
A point of interest (POI) recommender system (RS) is one of the representative research areas based on the location-based social network (LBSN). Most POI RS studies utilized various implicit information or social information to improve recommendation ...
Young-Duk Seo, Yoon-Sik Cho
exaly   +2 more sources

A Friend Like Me: Modeling Network Formation in a Location-Based Social Network

Journal of Management Information Systems, 2016
Gene Moo Lee   +2 more
exaly   +2 more sources

RecNet: a deep neural network for personalized POI recommendation in location-based social networks

International Journal of Geographical Information Science, 2018
Zhenzhong Chen
exaly   +2 more sources

Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks

ACM Transactions on Knowledge Discovery from Data, 2022
With the wide use of Location-Based Social Networks (LBSNs), predicting user friendship from online social relations and offline trajectory data is of great value to improve the platform service quality and user satisfaction.
Xuemei Wei   +5 more
semanticscholar   +1 more source

A Heterogeneous Graph Embedding Framework for Location-Based Social Network Analysis in Smart Cities

IEEE Transactions on Industrial Informatics, 2020
In recent years, with the advancement of wireless communication and location acquisition technology in the context of modern smart cities, and the increasing popularity of mobile devices with location capabilities based on Social Internet of Things, we ...
Yazi Wang   +4 more
semanticscholar   +1 more source

Heterogeneous graph-based joint representation learning for users and POIs in location-based social network

Information Processing & Management, 2020
Learning latent representations for users and points of interests (POIs) is an important task in location-based social networks (LBSN), which could largely benefit multiple location-based services, such as POI recommendation and social link prediction ...
Yaqiong Qiao   +4 more
semanticscholar   +1 more source

Exploring Social Influence on Location-Based Social Networks

2014 IEEE International Conference on Data Mining, 2014
Recently, with the advent of location-based social networking services (LBSNs), travel planning and location-aware information recommendation based on LBSNs have attracted much research attention. In this paper, we study the impact of social relations hidden in LBSNs, i.e., The social influence of friends.
Yu Ting Wen   +3 more
openaire   +2 more sources

Using multi-features to partition users for friends recommendation in location based social network

Information Processing & Management, 2020
Friend recommendation is an important feature of social network applications to help people make new friends and expand their social circles. However, the user-location and user-user information in location based social network are both too sparse which ...
Mingjun Xin, Lijun Wu
semanticscholar   +1 more source

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