A Web-Based Approach to Assessing Artist Similarity using Co-Occurrences
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
Fourth International Workshop on Content-Based Multimedia Indexing (CBMI'05), Riga, Lativa
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
In this paper, we present a similarity measure for music
artists based on search results of Google queries. Co-occurrences
of artist names on web pages are analyzed to measure
how often two artists are mentioned together on the
same web page. We estimate conditional probabilities using
the extracted page count. These conditional probabilities
give a similarity measure which is evaluated using a data
set containing 224 artists from 14 genres. For evaluation,
we use two different methods, intra-/intergroup-similarities
and k-Nearest Neighbors classification. Furthermore, a confidence
filter and combinations of the results gained from
three different query settings are tested. It is shown that
these enhancements can raise the performance of our similarity
measure. Comparing our results to those of similar
approaches show that our approach, though being quite simple,
performs well and can be used as a similarity measure
that incorporates “social knowledge”.
Forschungs-