A complementing preference based method for location recommendation with cellular data
暂无分享,去创建一个
[1] Chien-Liang Liu,et al. Background music recommendation based on latent factors and moods , 2018, Knowl. Based Syst..
[2] M. McPherson,et al. Birds of a Feather: Homophily in Social Networks , 2001 .
[3] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[4] Louise Marie Roth,et al. The Social Psychology of Tokenism: Status and Homophily Processes on Wall Street , 2004 .
[5] MengChu Zhou,et al. An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems , 2014, IEEE Transactions on Industrial Informatics.
[6] Alan Murray,et al. Finding Similar Mobile Consumers with a Privacy-Friendly Geosocial Design , 2015, Inf. Syst. Res..
[7] Yonghong Yu,et al. A Survey of Point-of-Interest Recommendation in Location-Based Social Networks , 2015, AAAI 2015.
[8] Mohamed F. Mokbel,et al. Recommendations in location-based social networks: a survey , 2015, GeoInformatica.
[9] Wei-Ying Ma,et al. Recommending friends and locations based on individual location history , 2011, ACM Trans. Web.
[10] Lior Rokach,et al. Recommender Systems: Introduction and Challenges , 2015, Recommender Systems Handbook.
[11] Nicholas Jing Yuan,et al. Scalable Content-Aware Collaborative Filtering for Location Recommendation , 2018, IEEE Transactions on Knowledge and Data Engineering.
[12] MengChu Zhou,et al. A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[13] G. Rushton. Behavioral Correlates of Urban Spatial Structure , 1971 .
[14] G. Rushton. ANALYSIS OF SPATIAL BEHAVIOR BY REVEALED SPACE PREFERENCE , 1969 .
[15] MengChu Zhou,et al. An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems , 2015, IEEE Transactions on Industrial Informatics.
[16] Xing Zhang,et al. CPLR: Collaborative pairwise learning to rank for personalized recommendation , 2018, Knowl. Based Syst..
[17] Enrique Herrera-Viedma,et al. Sharing notes: An academic social network based on a personalized fuzzy linguistic recommender system , 2018, Eng. Appl. Artif. Intell..
[18] Kamal Kant Bharadwaj,et al. Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities , 2011, Expert Syst. Appl..
[19] César A. Hidalgo,et al. Unique in the Crowd: The privacy bounds of human mobility , 2013, Scientific Reports.
[20] Enrique Herrera-Viedma,et al. A quality based recommender system to disseminate information in a university digital library , 2014, Inf. Sci..
[21] Barry Smyth,et al. Uncovering Measurements of Social and Demographic Behavior From Smartphone Location Data , 2013, IEEE Transactions on Human-Machine Systems.
[22] MengChu Zhou,et al. An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications , 2018, IEEE Transactions on Industrial Informatics.
[23] Wenyuan Liu,et al. CTF-ARA: An adaptive method for POI recommendation based on check-in and temporal features , 2017, Knowl. Based Syst..
[24] Xing Xie,et al. GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization , 2018, TOIS.
[25] Enrique Herrera-Viedma,et al. A Self-Management Mechanism for Noncooperative Behaviors in Large-Scale Group Consensus Reaching Processes , 2018, IEEE Transactions on Fuzzy Systems.
[26] Diego Fernández,et al. Comparison of collaborative filtering algorithms , 2011, ACM Trans. Web.
[27] MengChu Zhou,et al. Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data , 2018, IEEE Transactions on Cybernetics.
[28] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[29] Daniel Thalmann,et al. Merging trust in collaborative filtering to alleviate data sparsity and cold start , 2014, Knowl. Based Syst..
[30] Enrique Herrera-Viedma,et al. Utilizing multi-source data in popularity prediction for shop-type recommendation , 2019, Knowl. Based Syst..