A Multi-Element Hybrid Location Recommendation Algorithm for Location Based Social Networks
IEEE Access, 2019 In the environment of data explosion, how to make an effective and accurate personalized point of interest (POI) recommendation in location-based social networks (LBSNs) is a challenging and meaningful task.
Ren Yue-Qiang +3 more
doaj +1 more source
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users
, 2017 Spatial item recommendation has become an important means to help people discover interesting locations, especially when people pay a visit to unfamiliar regions.
Du, Changying +5 more
core +1 more source
Deep Collaborative Filtering Approaches for Context-Aware Venue Recommendation [PDF]
, 2016 In recent years, vast amounts of user-generated data have being created on Location-Based Social Networks (LBSNs) such as Yelp and Foursquare. Making effective personalised venue suggestions to users based on their preferences and surrounding context is ...
Eisuke Uchino (648395) +9 more
core +4 more sources
Hete-CF: Social-Based Collaborative Filtering Recommendation using Heterogeneous Relations
, 2014 Collaborative filtering algorithms haven been widely used in recommender systems. However, they often suffer from the data sparsity and cold start problems.
Luo, Chen, Pang, Wei, Wang, Zhe
core +2 more sources
Challenges in context-aware mobile language learning: the MASELTOV approach [PDF]
, 2014 Smartphones, as highly portable networked computing devices with embedded sensors including GPS receivers, are ideal platforms to support context-aware language learning. They can enable learning when the user is en-gaged in everyday activities while out
A. Kukulska-Hulme +22 more
core +1 more source
Context-Aware Group Recommendation for Point-of-Interests
IEEE Access, 2018 Group recommendation generates a ranked list of recommendations for a group of users. Point-of-interests (POIs) group recommendation aims to suggest the most agreeable meeting places for a group of users.
Qiliang Zhu +5 more
doaj +1 more source
ISPRS International Journal of Geo-Information, 2023 The rapid development of big data technology and mobile intelligent devices has led to the development of location-based social networks (LBSNs). To understand users’ behavioral patterns and improve the accuracy of location-based services, point-of ...
Yan Zhou, Kaixuan Zhou, Shuaixian Chen
doaj +1 more source
Disposition and Success of Patients Following Discharge in the Acute Setting
, 2017 : Background & Purpose: Many patients are seen in the hospital by physical therapists who also help decide where the patient will go after discharge (e.g., home, rehab hospital, skilled nursing facility) with the goal being the safest and best quality of
Cortney, Ciera +2 more
core +1 more source
Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation [PDF]
, 2016 Recommending users with preferred point-of-interests (POIs) has become an important task for location-based social networks, which facilitates users' urban exploration by helping them filter out unattractive locations.
Alkhawaldeh, Rami S. +5 more
core +1 more source
Enabling Smart Anonymity Scheme for Security Collaborative Enhancement in Location-Based Services
IEEE Access, 2019 Security enhancement is and always will be a prime concern for the deployment of point-of-interest (POI) recommendation services in mobile sensing environment.
Hongchen Wu, Mingyang Li, Huaxiang Zhang
doaj +1 more source