Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
IEEE Transactions on Knowledge and Data Engineering
A Personalized Music System for Motivation in Sport Performance
IEEE Pervasive Computing
PersonalSoundtrack: context-aware playlists that adapt to user pace
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Lifetrak: music in tune with your life
Proceedings of the 1st ACM international workshop on Human-centered multimedia
Towards musical query-by-semantic-description using the CAL500 data set
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
TripleBeat: enhancing exercise performance with persuasion
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
Evaluating SuperMusic: streaming context-aware mobile music service
ACE '08 Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology
A Human Activity Aware Learning Mobile Music Player
Proceedings of the 2007 conference on Advances in Ambient Intelligence
Activity Recognition from Accelerometer Data on a Mobile Phone
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
SVR-based music mood classification and context-based music recommendation
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Music Playlist Recommendation Based on User Heartbeat and Music Preference
ICCTD '09 Proceedings of the 2009 International Conference on Computer Technology and Development - Volume 01
Music Recommendation Using Content and Context Information Mining
IEEE Intelligent Systems
Music emotion classification and context-based music recommendation
Multimedia Tools and Applications
Context awareness by case-based reasoning in a music recommendation system
UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems
Activity recognition using cell phone accelerometers
ACM SIGKDD Explorations Newsletter
Activity recognition using hierarchical hidden markov models on a smartphone with 3D accelerometer
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Location-adapted music recommendation using tags
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
A context-aware music recommendation system using fuzzy bayesian networks with utility theory
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Design of music recommendation system using context information
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Cases, context, and comfort: opportunities for case-based reasoning in smart homes
Designing Smart Homes
When music, information technology, and medicine meet
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies
A daily, activity-aware, mobile music recommender system
Proceedings of the 20th ACM international conference on Multimedia
Proceedings of the 4th ACM Multimedia Systems Conference
An evaluation of wearable activity monitoring devices
Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia
Personalized Music Recommendation in a Mobile Environment
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
A survey of music similarity and recommendation from music context data
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
| Hi-index | 0.00 |
Existing music recommendation systems rely on collaborative filtering or content-based technologies to satisfy users' long-term music playing needs. Given the popularity of mobile music devices with rich sensing and wireless communication capabilities, we present in this paper a novel approach to employ contextual information collected with mobile devices for satisfying users' short-term music playing needs. We present a probabilistic model to integrate contextual information with music content analysis to offer music recommendation for daily activities, and we present a prototype implementation of the model. Finally, we present evaluation results demonstrating good accuracy and usability of the model and prototype.