Markus Schedl, David Hauger, Dominik Schnitzer,
"A Model for Serendipitous Music Retrieval"
: Proceedings of the 16th International Conference on Intelligent User Interfaces (IUI 2012): 2nd International Workshop on Context-awareness in Retrieval and Recommendation (CaRR 2012), 2-2012
Original Titel:
A Model for Serendipitous Music Retrieval
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 16th International Conference on Intelligent User Interfaces (IUI 2012): 2nd International Workshop on Context-awareness in Retrieval and Recommendation (CaRR 2012)
Original Kurzfassung:
Music retrieval systems that take into account the user?s taste
and information or entertainment need when building the results
set to a query are of vital interest for academia, industry,
and the passionate music listener. Unfortunately, preliminary
attempts to incorporate such aspects have been rather
sparse so far. Focusing on the problem of music recommendation,
we therefore present a new model that combines several
factors we deem to be important for personalizing retrieval
results: similarity, diversity, popularity, hotness, recentness,
novelty, and serendipity. We further propose different
ways to measure the corresponding aspects and, where
available, point to literature for a more detailed elaboration of
the corresponding measures. In addition, we propose the use
of social media mining techniques to address the problem of
estimating popularity and hotness in a geo-aware manner.
Forschungs-