Markus Schedl, Christine Bauer,
"An analysis of global and regional mainstreaminess for personalized music recommender systems"
, in Journal of Mobile Multimedia, Vol. 14, Nummer 1, 2018, ISSN: 1550-4654
An analysis of global and regional mainstreaminess for personalized music recommender systems
Sprache des Titels:
The music mainstreaminess of a listener reflects how strong a person?s
listening preferences correspond to those of the larger population. Considering
that music mainstream may be defined from different perspectives, we
show country-specific differences and study how taking into account music
mainstreaminess influences the quality of music recommendations.
In this paper, we first propose 11 novel mainstreaminess measures
characterizing music listeners, considering both a global and a countryspecific
basis for mainstreaminess. To this end, we model preference profiles
(as a vector over artists) for users, countries, and globally, incorporating
artist frequency, listener frequency, and a newly proposed TF-IDF-inspired
weighting function, which we call artist frequency?inverse listener frequency
(AF-ILF). The resulting preference profile for each user u is then
related to the respective country-specific and global preference profile using
fraction-based approaches, symmetrized Kullback-Leibler divergence, and
Kendall?s ? rank correlation, in order to quantify u?s mainstreaminess.
Second, we detail country-specific peculiarities concerning what defines the
countries? mainstream and discuss the proposed mainstreaminess definitions.
Third, we show that incorporating the proposed global and country-specific