Fast Random Walk with Restart and Its Applications
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
SoRec: social recommendation using probabilistic matrix factorization
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TrustWalker: a random walk model for combining trust-based and item-based recommendation
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On social networks and collaborative recommendation
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Fast nonparametric matrix factorization for large-scale collaborative filtering
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Scalable Collaborative Filtering Approaches for Large Recommender Systems
The Journal of Machine Learning Research
Tutorial on using social trust for recommender systems
Proceedings of the third ACM conference on Recommender systems
Exploiting geographical influence for collaborative point-of-interest recommendation
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A recommendation technique for spatial data
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
Toward traffic-driven location-based web search
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Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Circle of friend query in geo-social networks
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part II
Towards a narrative-aware design framework for smart urban environments
The Future Internet
Exploring social influence for recommendation: a generative model approach
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
A study of recommending locations on location-based social network by collaborative filtering
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
Followee recommendation in asymmetrical location-based social networks
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Activity duration analysis for context-aware services using foursquare check-ins
Proceedings of the 2012 international workshop on Self-aware internet of things
Location affiliation networks: bonding social and spatial information
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Location-based and preference-aware recommendation using sparse geo-social networking data
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Personalized trip recommendation with multiple constraints by mining user check-in behaviors
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
App recommendation: a contest between satisfaction and temptation
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Public checkins versus private queries: measuring and evaluating spatial preference
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
How big is the crowd?: event and location based population modeling in social media
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A sentiment-enhanced personalized location recommendation system
Proceedings of the 24th ACM Conference on Hypertext and Social Media
Time-aware point-of-interest recommendation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
A location-based news article recommendation with explicit localized semantic analysis
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
LCARS: a location-content-aware recommender system
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Trade area analysis using user generated mobile location data
Proceedings of the 22nd international conference on World Wide Web
A HITS-based POI recommendation algorithm for location-based social networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Location recommendation for out-of-town users in location-based social networks
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Co-occurrence prediction in a large location-based social network
Frontiers of Computer Science: Selected Publications from Chinese Universities
Spatial topic modeling in online social media for location recommendation
Proceedings of the 7th ACM conference on Recommender systems
Exploring temporal effects for location recommendation on location-based social networks
Proceedings of the 7th ACM conference on Recommender systems
iGSLR: personalized geo-social location recommendation: a kernel density estimation approach
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Location recommendation in location-based social networks using user check-in data
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Geographical and temporal similarity measurement in location-based social networks
Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Mobility and social networking: a data management perspective
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An object based conceptual framework for location based social networking
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Where you like to go next: successive point-of-interest recommendation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Customized tour recommendations in urban areas
Proceedings of the 7th ACM international conference on Web search and data mining
Transferring heterogeneous links across location-based social networks
Proceedings of the 7th ACM international conference on Web search and data mining
A new user similarity model to improve the accuracy of collaborative filtering
Knowledge-Based Systems
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In this paper, we study the research issues in realizing location recommendation services for large-scale location-based social networks, by exploiting the social and geographical characteristics of users and locations/places. Through our analysis on a dataset collected from Foursquare, a popular location-based social networking system, we observe that there exists strong social and geospatial ties among users and their favorite locations/places in the system. Accordingly, we develop a friend-based collaborative filtering (FCF) approach for location recommendation based on collaborative ratings of places made by social friends. Moreover, we propose a variant of FCF technique, namely Geo-Measured FCF (GM-FCF), based on heuristics derived from observed geospatial characteristics in the Foursquare dataset. Finally, the evaluation results show that the proposed family of FCF techniques holds comparable recommendation effectiveness against the state-of-the-art recommendation algorithms, while incurring significantly lower computational overhead. Meanwhile, the GM-FCF provides additional flexibility in tradeoff between recommendation effectiveness and computational overhead.