Journal of the American Society for Information Science - Special topic issue on the history of documentation and information science: part II
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Self-Organizing Maps
Novelty and redundancy detection in adaptive filtering
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Document clustering based on non-negative matrix factorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
DJogger: a mobile dynamic music device
CHI '06 Extended Abstracts on Human Factors in Computing Systems
PersonalSoundtrack: context-aware playlists that adapt to user pace
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Minimal test collections for retrieval evaluation
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A music search engine built upon audio-based and web-based similarity measures
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
The Benefit of Using Tag-Based Profiles
LA-WEB '07 Proceedings of the 2007 Latin American Web Conference
Meeting of the MINDS: an information retrieval research agenda
ACM SIGIR Forum
Novelty and diversity in information retrieval evaluation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
User language model for collaborative personalized search
ACM Transactions on Information Systems (TOIS)
Input-agreement: a new mechanism for collecting data using human computation games
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CompositeMap: a novel framework for music similarity measure
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
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
Weighted self-organizing maps: incorporating user feedback
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Context awareness by case-based reasoning in a music recommendation system
UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems
Modern Information Retrieval
Music recommendations with temporal context awareness
Proceedings of the fourth ACM conference on Recommender systems
Workshop on user-centric evaluation of recommender systems and their interfaces
Proceedings of the fourth ACM conference on Recommender systems
Recommender Systems Handbook
Location-adapted music recommendation using tags
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
A user-centric evaluation framework for recommender systems
Proceedings of the fifth ACM conference on Recommender systems
The need for music information retrieval with user-centered and multimodal strategies
MIRUM '11 Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies
IR research: systems, interaction, evaluation and theories
ACM SIGIR Forum
A model for serendipitous music retrieval
Proceedings of the 2nd Workshop on Context-awareness in Retrieval and Recommendation
Personalization in multimodal music retrieval
AMR'11 Proceedings of the 9th international conference on Adaptive Multimedia Retrieval: large-scale multimedia retrieval and evaluation
Classification accuracy is not enough
Journal of Intelligent Information Systems
Hi-index | 0.00 |
Personalization and context-awareness are highly important topics in research on Intelligent Information Systems. In the fields of Music Information Retrieval (MIR) and Music Recommendation in particular, user-centric algorithms should ideally provide music that perfectly fits each individual listener in each imaginable situation and for each of her information or entertainment needs. Even though preliminary steps towards such systems have recently been presented at the "International Society for Music Information Retrieval Conference" (ISMIR) and at similar venues, this vision is still far away from becoming a reality. In this article, we investigate and discuss literature on the topic of user-centric music retrieval and reflect on why the breakthrough in this field has not been achieved yet. Given the different expertises of the authors, we shed light on why this topic is a particularly challenging one, taking computer science and psychology points of view. Whereas the computer science aspect centers on the problems of user modeling, machine learning, and evaluation, the psychological discussion is mainly concerned with proper experimental design and interpretation of the results of an experiment. We further present our ideas on aspects crucial to consider when elaborating user-aware music retrieval systems.