Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
The Journal of Machine Learning Research
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Knowledge and Data Engineering
Lifetrak: music in tune with your life
Proceedings of the 1st ACM international workshop on Human-centered multimedia
MusicSense: contextual music recommendation using emotional allocation modeling
Proceedings of the 15th international conference on Multimedia
Emotion-based impressionism slideshow with automatic music accompaniment
Proceedings of the 15th international conference on Multimedia
A hybrid social-acoustic recommendation system for popular music
Proceedings of the 2007 ACM conference on Recommender systems
Mediation of user models for enhanced personalization in recommender systems
User Modeling and User-Adapted Interaction
Evaluating similarity measures for emergent semantics of social tagging
Proceedings of the 18th international conference on World wide web
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
Emotional descriptors for map-based access to music libraries
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Automatic mood detection and tracking of music audio signals
IEEE Transactions on Audio, Speech, and Language Processing
Pusic: musicalize microblog messages for summarization and exploration
Proceedings of the 19th international conference on World wide web
MemeTube: a sentiment-based audiovisual system for analyzing and displaying microblog messages
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations
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This work addresses a particular kind of cross domain personalization task consisting of selecting simultaneously two items in two different domains and recommending them together because they fit the user preferences and also they fit well together. In particular, it is shown that given a personalized recommendation for points of interests (POIs), the user's selection of POIs can be influenced by enriching their presentation with music tracks that are matching the user's profile and also the POIs. This paper presents the results of an online, live-users, experiment where we evaluated alternative approaches for matching POIs and music, based on tagging and text matching.