Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation

In recent years, location-aware music recommendation is increasing in popularity, as more and more users consume music on the move. In this demonstration, we present an intelligent system, called Just-for-Me, to facilitate accurate music recommendation based on where user presents. Our system is developed based on a novel probabilistic generative model, which can effectively integrate the location contexts and global music popularity trends. This approach allows us to gain more comprehensive modeling on user preference and thus significantly enhances the music recommendation performance.

[1]  Beth Logan,et al.  Mel Frequency Cepstral Coefficients for Music Modeling , 2000, ISMIR.

[2]  Mehrbakhsh Nilashi,et al.  Collaborative filtering recommender systems , 2013 .

[3]  Jae Sik Lee,et al.  Context Awareness by Case-Based Reasoning in a Music Recommendation System , 2007, UCS.

[4]  Tim Oates,et al.  A Human Activity Aware Learning Mobile Music Player , 2007, AITamI@IJCAI.

[5]  Markus Schedl,et al.  Location-Aware Music Artist Recommendation , 2014, MMM.

[6]  Philip S. Yu,et al.  Music Recommendation Using Content and Context Information Mining , 2010, IEEE Intelligent Systems.

[7]  Anne H. H. Ngu,et al.  Towards Effective Content-Based Music Retrieval With Multiple Acoustic Feature Combination , 2006, IEEE Transactions on Multimedia.

[8]  Arto Lehtiniemi Evaluating SuperMusic: streaming context-aware mobile music service , 2008, ACE '08.

[9]  Francesco Ricci,et al.  Context-aware music recommender systems: workshop keynote abstract , 2012, WWW.

[10]  Jialie Shen,et al.  Just-for-Me: An Adaptive Personalization System for Location-Aware Social Music Recommendation , 2014, ICMR.

[11]  Chong Wang,et al.  MusicSense: contextual music recommendation using emotional allocation modeling , 2007, ACM Multimedia.

[12]  Bernd Ludwig,et al.  InCarMusic: Context-Aware Music Recommendations in a Car , 2011, EC-Web.

[13]  Meng Wang,et al.  Modeling concept dynamics for large scale music search , 2012, SIGIR '12.

[14]  Iván Cantador,et al.  Knowledge-based music retrieval for places of interest , 2012, MIRUM '12.

[15]  Francesco Ricci,et al.  Location-aware music recommendation , 2013, International Journal of Multimedia Information Retrieval.

[16]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[17]  Peter Knees,et al.  What's Hot? Estimating Country-specific Artist Popularity , 2010, ISMIR.

[18]  Bingjun Zhang,et al.  CompositeMap: a novel music similarity measure for personalized multimodal music search , 2009, MM '09.

[19]  David M. Pennock,et al.  Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments , 2001, UAI.

[20]  Seungmin Rho,et al.  SVR-based music mood classification and context-based music recommendation , 2009, ACM Multimedia.

[21]  Michael J. Pazzani,et al.  Content-Based Recommendation Systems , 2007, The Adaptive Web.

[22]  Francesco Ricci,et al.  Location-aware music recommendation using auto-tagging and hybrid matching , 2013, RecSys.

[23]  Markus Schedl,et al.  Harvesting microblogs for contextual music similarity estimation: a co-occurrence-based framework , 2014, Multimedia Systems.

[24]  Francesco Ricci,et al.  Recommending music for places of interest in a mobile travel guide , 2011, RecSys '11.

[25]  Masataka Goto,et al.  Multimedia information retrieval: music and audio , 2013, MM '13.

[26]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[27]  Masataka Goto,et al.  An Efficient Hybrid Music Recommender System Using an Incrementally Trainable Probabilistic Generative Model , 2008, IEEE Transactions on Audio, Speech, and Language Processing.

[28]  Francesco Ricci,et al.  Contextual music information retrieval and recommendation: State of the art and challenges , 2012, Comput. Sci. Rev..

[29]  David S. Rosenblum,et al.  Context-aware mobile music recommendation for daily activities , 2012, ACM Multimedia.

[30]  Robin D. Burke,et al.  Hybrid Web Recommender Systems , 2007, The Adaptive Web.

[31]  Justin Donaldson A hybrid social-acoustic recommendation system for popular music , 2007, RecSys '07.

[32]  M. Schedl Analyzing the Potential of Microblogs for Spatio-Temporal Popularity Estimation of Music Artists , 2011 .

[33]  Thomas Hofmann,et al.  Probabilistic Latent Semantic Analysis , 1999, UAI.

[34]  Gediminas Adomavicius,et al.  Context-aware recommender systems , 2008, RecSys '08.