Online Social Networks: Recommendation

• {Backstorm10} Lars Backstrom, Eric Sun, and Cameron Marlow. Find Me If You Can: Improving Geographical Prediction with Social and Spatial Proximity. Proc. of WWW, 2010. relationship between proximity and friendship; locate users with greater accuracy than existing IP-based methods
• {Berjani11} Betim Berjani, Thorsten Strufe. A Recommendation System for Spots in Location-Based Online Social Networks. Proc. of ACM SNS, 2011.
• {Scellato11} Salvatore Scellato, Mirco Musolesi, Cecilia Mascolo, Vito Latora, and Andrew T. Campbell. NextPlace: A Spatio-Temporal Prediction Framework for Pervasive Systems. Proc. of Pervasive, 2011. nonlinear time series analysis; prediction of the arrival and residence times of users in relevant places
• {Wang11} D. Wang, D. Pedreschi, et al. Human Mobility, Social Ties, and Link Prediction. Proc. of ACM KDD, 2011. call detail record, three-fold correlation: co-location, network proximity, and tie strength
• {Bao12} Jie Bao, Yu Zheng, Mohamed F. Mokbel. Location-based and Preference-Aware Recommendation Using Sparse Geo-Social Networking Data. Proc. of ACM SIGSPATIAL GIS, 2012.
• {Levandoski12} Justin J. Levandoski, Mohamed Sarwat, Ahmed Eldawy, Mohamed F. Mokbel. LARS: A Location-Aware Recommender System. Proc. of IEEE ICDE, 2012. preference locality; travel locality
• {Cheng13} Chen Cheng, Haiqin Yang, Michael R. Lyu, and Irwin King. Where you like to go next: successive point-of-interest recommendation. Proc. of IJCAI, 2013. new POIs dynamics; inter check-in dynamics; successive personalized POI recommendation in LBSNs
• {Yang13a} Dingqi Yang, Daqing Zhang, Zhiyong Yu, and Zhiwen Yu. Fine-grained preference-aware location search leveraging crowdsourced digital footprints from LBSNs. Proc. of ACM UbiComp, 2013.
• {Yang13b} Dingqi Yang, Daqing Zhang, Zhiyong Yu, Zhu Wang. A Sentiment-Enhanced Personalized Location Recommendation System. Proc. of ACM HT, 2013.
• {Zhang13} Jia-Dong Zhang and Chi-Yin Chow. iGSLR: personalized geo-social location recommendation: a kernel density estimation approach. Proc. of ACM SIGSPATIAL, 2013. exploit personalized social and geographical influence on location recommendation; kernel density estimation; Foursquare & Gowalla data
• {Hu14} Longke Hu, Aixin Sun, Yong Liu. Your Neighbors Affect Your Ratings: On Geographical Neighborhood Influence to Rating Prediction. Proc. of ACM SIGIR, 2014.
• {Bakhshi14} Saeideh Bakhshi, Partha Kanuparthy, Eric Gilbert. Demographics, Weather and Online Reviews: A Study of Restaurant Recommendations. Proc. of WWW, 2014. better weather leads to better restaurant reviews
• {Zhang15} Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou. A Novelty-Seeking based Dining Recommender System. Proc. of WWW, 2015. `novelty-seeking tendency'
• {Yu15} Honglin Yu, Lexing Xie, Scott Sanner. The Lifecyle of a Youtube Video: Phases, Content and Popularity. Proc. of AAAI ICSWM, 2015. a novel representation, popularity phases, for describing the lifecycle of an online media item