Markus Schedl,
"On the Influence of User Characteristics on Music Recommendation Algorithms"
: Proceedings of the 37th European Conference on Information Retrieval, 3-2015
Original Titel:
On the Influence of User Characteristics on Music Recommendation Algorithms
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 37th European Conference on Information Retrieval
Original Kurzfassung:
We investigate a range of music recommendation algorithm
combinations, score aggregation functions, normalization techniques, and
late fusion techniques on approximately 200 million listening events collected
through Last.fm. The overall goal is to identify superior combinations
for the task of artist recommendation. Hypothesizing that user
characteristics influence performance on these algorithmic combinations,
we consider specific user groups determined by age, gender, country, and
preferred genre. Overall, we find that the performance of music recommendation
algorithms highly depends on user characteristics.
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