Merging user social network into the random walk model for better group recommendation

[1]  Yuanjie Zheng,et al.  Classifying advertising video by topicalizing high-level semantic concepts , 2018, Multimedia Tools and Applications.

[2]  Huaxiang Zhang,et al.  A Heuristic Model for Supporting Users' Decision-Making in Privacy Disclosure for Recommendation , 2018, Secur. Commun. Networks.

[3]  Yukihiro Tagami,et al.  Embedding-based News Recommendation for Millions of Users , 2017, KDD.

[4]  Dik Lun Lee,et al.  Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks , 2017, KDD.

[5]  Ling Chen,et al.  Multi-layer multi-view topic model for classifying advertising video , 2017, Pattern Recognit..

[6]  Angelo Chianese,et al.  Social recommendation service for cultural heritage , 2017, Personal and Ubiquitous Computing.

[7]  Hongyuan Zha,et al.  Recurrent Poisson Factorization for Temporal Recommendation , 2017, IEEE Transactions on Knowledge and Data Engineering.

[8]  Jiajun Bu,et al.  The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation , 2016, KDD.

[9]  Richang Hong,et al.  Point-of-Interest Recommendations: Learning Potential Check-ins from Friends , 2016, KDD.

[10]  Hui Xiong,et al.  Data-driven Automatic Treatment Regimen Development and Recommendation , 2016, KDD.

[11]  Liang Tang,et al.  An Empirical Study on Recommendation with Multiple Types of Feedback , 2016, KDD.

[12]  Logesh Ravi,et al.  A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users , 2016, Comput. Intell. Neurosci..

[13]  Craig Boutilier,et al.  Preference-oriented Social Networks: Group Recommendation and Inference , 2015, RecSys.

[14]  Víctor Hugo Menéndez-Domínguez,et al.  Evaluation and selection of group recommendation strategies for collaborative searching of learning objects , 2015, Int. J. Hum. Comput. Stud..

[15]  Shuang Gao,et al.  A locality correlation preserving support vector machine , 2014, Pattern Recognit..

[16]  Gao Cong,et al.  COM: a generative model for group recommendation , 2014, KDD.

[17]  Mária Bieliková,et al.  Group Recommendations: Survey and Perspectives , 2014, Comput. Informatics.

[18]  Li Guo,et al.  Combining Heterogenous Social and Geographical Information for Event Recommendation , 2014, AAAI.

[19]  Jie Zhang,et al.  TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation , 2014, AAAI.

[20]  Yuan Tian,et al.  Exploring personal impact for group recommendation , 2012, CIKM.

[21]  Alan Said,et al.  Group recommendation in context , 2011, CAMRa '11.

[22]  Shivakant Mishra,et al.  Enhancing group recommendation by incorporating social relationship interactions , 2010, GROUP.

[23]  Yujie Zhang,et al.  New approaches to mood-based hybrid collaborative filtering , 2010 .

[24]  Shlomo Berkovsky,et al.  Group-based recipe recommendations: analysis of data aggregation strategies , 2010, RecSys '10.

[25]  Francesco Ricci,et al.  Group recommendations with rank aggregation and collaborative filtering , 2010, RecSys '10.

[26]  Jing Lu,et al.  Creating ensembles of classifiers via fuzzy clustering and deflection , 2010, Fuzzy Sets Syst..

[27]  Deepak Agarwal,et al.  fLDA: matrix factorization through latent dirichlet allocation , 2010, WSDM '10.

[28]  Yehuda Koren,et al.  Matrix Factorization Techniques for Recommender Systems , 2009, Computer.

[29]  Yen-Liang Chen,et al.  A group recommendation system with consideration of interactions among group members , 2008, Expert Syst. Appl..

[30]  Ruslan Salakhutdinov,et al.  Probabilistic Matrix Factorization , 2007, NIPS.

[31]  Nick Craswell,et al.  Random walks on the click graph , 2007, SIGIR.

[32]  François Fouss,et al.  Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation , 2007, IEEE Transactions on Knowledge and Data Engineering.

[33]  Marco Gori,et al.  ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines , 2007, IJCAI.

[34]  Christos Faloutsos,et al.  Fast Random Walk with Restart and Its Applications , 2006, Sixth International Conference on Data Mining (ICDM'06).

[35]  Joemon M. Jose,et al.  Adaptive image retrieval using a Graph model for semantic feature integration , 2006, MIR '06.

[36]  Christos Faloutsos,et al.  Center-piece subgraphs: problem definition and fast solutions , 2006, KDD '06.

[37]  Xingshe Zhou,et al.  TV Program Recommendation for Multiple Viewers Based on user Profile Merging , 2006, User Modeling and User-Adapted Interaction.

[38]  Jingrui He,et al.  Manifold-ranking based image retrieval , 2004, MULTIMEDIA '04.

[39]  Christos Faloutsos,et al.  Automatic multimedia cross-modal correlation discovery , 2004, KDD.

[40]  Luo Si,et al.  An automatic weighting scheme for collaborative filtering , 2004, SIGIR '04.

[41]  Christos Faloutsos,et al.  GCap: Graph-based Automatic Image Captioning , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[42]  Kristian J. Hammond,et al.  Flytrap: intelligent group music recommendation , 2002, IUI '02.

[43]  Rajeev Motwani,et al.  The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.

[44]  Judith Masthoff,et al.  Group Recommender Systems: Combining Individual Models , 2011, Recommender Systems Handbook.

[45]  Barry Smyth,et al.  Recommendation to Groups , 2007, The Adaptive Web.

[46]  Changshui Zhang,et al.  A Random Walks Method for Text Classification , 2006, SDM.

[47]  George Karypis,et al.  Item-based top-N recommendation algorithms , 2004, TOIS.