Online recommender system for radio station hosting based on information fusion and adaptive tag-aware profiling
暂无分享,去创建一个
Sergey I. Nikolenko | Jonas Poelmans | Dmitry I. Ignatov | Taimuraz Abaev | S. Nikolenko | Jonas Poelmans | D. Ignatov | T. Abaev
[1] Fabien Gouyon,et al. Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012 , 2012 .
[2] Panagiotis Symeonidis,et al. MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags , 2010, IEEE Transactions on Audio, Speech, and Language Processing.
[3] Chia-Hui Chang,et al. Integrating content-based filtering with collaborative filtering using co-clustering with augmented matrices , 2014, Expert Syst. Appl..
[4] Myra Spiliopoulou,et al. Learning Relational User Profiles and Recommending Items as Their Preferences Change , 2015, Int. J. Artif. Intell. Tools.
[5] ChengXiang Zhai,et al. Improving one-class collaborative filtering by incorporating rich user information , 2010, CIKM.
[6] Hyoung-Joo Kim,et al. A framework for tag-aware recommender systems , 2014, Expert Syst. Appl..
[7] Stathes Hadjiefthymiades,et al. Facing the cold start problem in recommender systems , 2014, Expert Syst. Appl..
[8] Sangkeun Lee,et al. Constructing compact and effective graphs for recommender systems via node and edge aggregations , 2015, Expert Syst. Appl..
[9] Andreas Butz,et al. AudioRadar: A Metaphorical Visualization for the Navigation of Large Music Collections , 2006, Smart Graphics.
[10] Xavier Serra,et al. Folksonomy-based Tag Recommendation for Online Audio Clip Sharing , 2012, ISMIR.
[11] Panagiotis Symeonidis,et al. Nearest-biclusters collaborative filtering based on constant and coherent values , 2008, Information Retrieval.
[12] Fernando Ortega,et al. Trees for explaining recommendations made through collaborative filtering , 2013, Inf. Sci..
[13] Alexander Tuzhilin,et al. Comparing context-aware recommender systems in terms of accuracy and diversity , 2012, User Modeling and User-Adapted Interaction.
[14] Ruslan Salakhutdinov,et al. Bayesian probabilistic matrix factorization using Markov chain Monte Carlo , 2008, ICML '08.
[15] Òscar Celma,et al. Music Recommendation and Discovery - The Long Tail, Long Fail, and Long Play in the Digital Music Space , 2010 .
[16] Qiang Yang,et al. One-Class Collaborative Filtering , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[17] John Riedl,et al. Recommender systems: from algorithms to user experience , 2012, User Modeling and User-Adapted Interaction.
[18] Yehuda Koren,et al. Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy , 2011, RecSys '11.
[19] Sahin Albayrak,et al. Increasing Diversity Through Furthest Neighbor-Based Recommendation , 2012 .
[20] Kibeom Lee,et al. Music recommendation using text analysis on song requests to radio stations , 2014, Expert Syst. Appl..
[21] Yehuda Koren,et al. Factor in the neighbors: Scalable and accurate collaborative filtering , 2010, TKDD.
[22] Ye Wang,et al. Large-scale music tag recommendation with explicit multiple attributes , 2010, ACM Multimedia.
[23] Michael J. Best,et al. Active set algorithms for isotonic regression; A unifying framework , 1990, Math. Program..
[24] Panagiotis Symeonidis,et al. Ternary Semantic Analysis of Social Tags for Personalized Music Recommendation , 2008, ISMIR.
[25] Yehuda Koren,et al. Advances in Collaborative Filtering , 2011, Recommender Systems Handbook.
[26] Javier Jaén Martínez,et al. A multicriteria ant colony algorithm for generating music playlists , 2012, Expert Syst. Appl..
[27] Adam Prügel-Bennett,et al. Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems , 2014, Expert Syst. Appl..
[28] J. Bobadilla,et al. Recommender systems survey , 2013, Knowl. Based Syst..
[29] Yehuda Koren,et al. Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[30] Jianying Hu,et al. One-Class Matrix Completion with Low-Density Factorizations , 2010, 2010 IEEE International Conference on Data Mining.
[31] Sergey I. Nikolenko,et al. Online Recommender System for Radio Station Hosting , 2012, BIR.
[32] Cheng-Fa Tsai,et al. An intelligent music playlist generator based on the time parameter with artificial neural networks , 2010, Expert Syst. Appl..
[33] Ruslan Salakhutdinov,et al. Probabilistic Matrix Factorization , 2007, NIPS.
[34] Yi-Hsuan Yang,et al. Music retagging using label propagation and robust principal component analysis , 2012, WWW.
[35] Wietse Balkema,et al. Music playlist generation by assimilating GMMs into SOMs , 2010, Pattern Recognit. Lett..
[36] Francesco Ricci,et al. Contextual music information retrieval and recommendation: State of the art and challenges , 2012, Comput. Sci. Rev..
[37] Yehuda Koren,et al. Lessons from the Netflix prize challenge , 2007, SKDD.
[38] John Riedl,et al. GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.
[39] Angelo Susi,et al. Collaborative Radio Community , 2002, AH.
[40] Yehuda Koren,et al. Build your own music recommender by modeling internet radio streams , 2012, WWW.
[41] Eyke Hüllermeier,et al. Preference-based reinforcement learning: a formal framework and a policy iteration algorithm , 2012, Mach. Learn..
[42] Xi Zhang,et al. A Weighted One Class Collaborative Filtering with Content Topic Features , 2013, MMM.
[43] Joze Rugelj,et al. Improving matrix factorization recommendations for examples in cold start , 2015, Expert Syst. Appl..
[44] Mouzhi Ge,et al. How should I explain? A comparison of different explanation types for recommender systems , 2014, Int. J. Hum. Comput. Stud..
[45] Sergei O. Kuznetsov,et al. Triadic Formal Concept Analysis and triclustering: searching for optimal patterns , 2015, Machine Learning.
[46] Rong Pan,et al. Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering , 2009, KDD.
[47] Mitsunori Ogihara,et al. NextOne Player: A Music Recommendation System Based on User Behavior , 2011, ISMIR.
[48] Yuefeng Li,et al. The state-of-the-art in personalized recommender systems for social networking , 2012, Artificial Intelligence Review.
[49] Jonas Poelmans,et al. Can triconcepts become triclusters? , 2013, Int. J. Gen. Syst..
[50] Kibeom Lee,et al. Escaping your comfort zone: A graph-based recommender system for finding novel recommendations among relevant items , 2015, Expert Syst. Appl..
[51] Jonas Poelmans,et al. A New Cross-Validation Technique to Evaluate Quality of Recommender Systems , 2012, PerMIn.
[52] Sophie Ahrens,et al. Recommender Systems , 2012 .
[53] Douglas Turnbull,et al. MeUse: Recommending Internet Radio Stations , 2013, ISMIR.
[54] Paul Lamere,et al. Music recommendation and discovery revisited , 2011, RecSys '11.
[55] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[56] Florent Domenach,et al. Implications of Axiomatic Consensus Properties , 2013, Algorithms from and for Nature and Life.
[57] Thierry Bertin-Mahieux,et al. Automatic Generation of Social Tags for Music Recommendation , 2007, NIPS.
[58] Thierry Bertin-Mahieux,et al. The million song dataset challenge , 2012, WWW.
[59] Michael R. Lyu,et al. Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering , 2009, CIKM.
[60] Dmitry Bogdanov,et al. How Much Metadata Do We Need in Music Recommendation? A Subjective Evaluation Using Preference Sets , 2011, ISMIR.
[61] David F. Gleich,et al. The World of Music: SDP layout of high dimensional data , 2005 .
[62] Yehuda Koren,et al. Factorization meets the neighborhood: a multifaceted collaborative filtering model , 2008, KDD.
[63] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[64] Guandong Xu,et al. Exploring user emotion in microblogs for music recommendation , 2015, Expert Syst. Appl..
[65] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[66] Vaiva Imbrasaite,et al. Generating Music Playlists with Hierarchical Clustering and Q-Learning , 2015, ECIR.
[67] Jakob Abeßer,et al. Music Search and Recommendation , 2009, Handbook of Multimedia for Digital Entertainment and Arts.
[68] Emilia Gómez,et al. Semantic audio content-based music recommendation and visualization based on user preference examples , 2013, Inf. Process. Manag..
[69] Douglas Eck,et al. Aggregate features and ADABOOST for music classification , 2006, Machine Learning.