Graph-based Point-of-interest Recommendation with Geographical and Temporal Influences
暂无分享,去创建一个
[1] Huan Liu,et al. Exploring temporal effects for location recommendation on location-based social networks , 2013, RecSys.
[2] Mao Ye,et al. Location recommendation for location-based social networks , 2010, GIS '10.
[3] Michael R. Lyu,et al. Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks , 2012, AAAI.
[4] Mao Ye,et al. Exploring social influence for recommendation: a generative model approach , 2012, SIGIR '12.
[5] Xue Li,et al. Time weight collaborative filtering , 2005, CIKM '05.
[6] Cecilia Mascolo,et al. A Random Walk around the City: New Venue Recommendation in Location-Based Social Networks , 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.
[7] Bo Hu,et al. Spatio-Temporal Topic Modeling in Mobile Social Media for Location Recommendation , 2013, 2013 IEEE 13th International Conference on Data Mining.
[8] Min Zhao,et al. Social temporal collaborative ranking for context aware movie recommendation , 2013, TIST.
[9] Tomoharu Iwata,et al. Geo topic model: joint modeling of user's activity area and interests for location recommendation , 2013, WSDM.
[10] Shankar Kumar,et al. Video suggestion and discovery for youtube: taking random walks through the view graph , 2008, WWW.
[11] Martin Ester,et al. Spatial topic modeling in online social media for location recommendation , 2013, RecSys.
[12] Chunyan Miao,et al. Personalized point-of-interest recommendation by mining users' preference transition , 2013, CIKM.
[13] Jimeng Sun,et al. Temporal recommendation on graphs via long- and short-term preference fusion , 2010, KDD.
[14] Injong Rhee,et al. SLAW: A New Mobility Model for Human Walks , 2009, IEEE INFOCOM 2009.
[15] Mao Ye,et al. Exploiting geographical influence for collaborative point-of-interest recommendation , 2011, SIGIR.
[16] Mao Ye,et al. Location recommendation for out-of-town users in location-based social networks , 2013, CIKM.
[17] Hui Xiong,et al. Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness , 2013, SDM.
[18] Jure Leskovec,et al. Friendship and mobility: user movement in location-based social networks , 2011, KDD.
[19] Nadia Magnenat-Thalmann,et al. Time-aware point-of-interest recommendation , 2013, SIGIR.
[20] Ahmed Eldawy,et al. LARS: A Location-Aware Recommender System , 2012, 2012 IEEE 28th International Conference on Data Engineering.
[21] Yizhou Sun,et al. LCARS: a location-content-aware recommender system , 2013, KDD.
[22] Zi Huang,et al. A temporal context-aware model for user behavior modeling in social media systems , 2014, SIGMOD Conference.
[23] Xi Chen,et al. Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization , 2010, SDM.
[24] Ioannis Konstas,et al. On social networks and collaborative recommendation , 2009, SIGIR.
[25] Jure Leskovec,et al. Supervised random walks: predicting and recommending links in social networks , 2010, WSDM '11.
[26] Kyumin Lee,et al. Exploring Millions of Footprints in Location Sharing Services , 2011, ICWSM.
[27] Deepak Agarwal,et al. fLDA: matrix factorization through latent dirichlet allocation , 2010, WSDM '10.
[28] Hao Wang,et al. Location recommendation in location-based social networks using user check-in data , 2013, SIGSPATIAL/GIS.
[29] David Maxwell Chickering,et al. Using Temporal Data for Making Recommendations , 2001, UAI.
[30] Yehuda Koren,et al. Collaborative filtering with temporal dynamics , 2009, KDD.
[31] Mohamed F. Mokbel,et al. Location-based and preference-aware recommendation using sparse geo-social networking data , 2012, SIGSPATIAL/GIS.
[32] Hui Xiong,et al. Learning geographical preferences for point-of-interest recommendation , 2013, KDD.
[33] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[34] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.