Tim Pohle, Gerhard Widmer, Markus Schedl, Peter Knees,
"Building an Interactive Next-Generation Artist Recommender Based on Automatically Derived High-Level Concepts."
: Proceedings of the 5th International Workshop on Content Based Multimedia Indexing (CBMI 2007), 2007
Building an Interactive Next-Generation Artist Recommender Based on Automatically Derived High-Level Concepts.
Sprache des Titels:
Proceedings of the 5th International Workshop on Content Based Multimedia Indexing (CBMI 2007)
We present a new way of accessing large sets of musical
artists based on high-level concepts. The concepts are derived
and assigned to individual artists by an automatic procedure:
Using a list of music-related words and phrases, the
well-known TF×IDF approach is applied to analyse the 100
top web pages related to each artist, as delivered by a web
search engine. This data then is decomposed into a number
of “archetypical” bases or “concepts” by Non-Negative
Matrix Factorisation (NMF). Each artist is then described
by the amount by which it is related to each of these concepts.
In our browser application presented here, such a representation
allows for independently adjusting the weight of
each of these concepts, to recommend those artists that best
match the desired query profile.