Paper Info
Title
A hybrid social-acoustic recommendation system for popular music
Abstract
Recommendation systems leverage several types of information relating to a recommendable item. The recommendation methods are often based on the analysis of how a set of users associate or rate a given set of items, but they can also focus on the analysis of how the content of the items is related. This paper discusses a hybrid recommendation system for music - a system that leverages both spectral graph properties of an item-based collaborative filtering association network as well as acoustic features of the underlying music signal. Both features are balanced appropriately and used to disambiguate the music-seeking intentions of a user.
Year
DOI
Venue
2007
10.1145/1297231.1297271
RecSys
Keywords
DocType
Citations 
music-seeking intention,recommendation systems leverage,underlying music signal,popular music,hybrid recommendation system,item-based collaborative,acoustic feature,recommendation method,recommendable item,hybrid social-acoustic recommendation system,spectral graph property,association network,recommender system,music,hybrid,collaborative filtering,social
Conference
10
PageRank 
References 
Authors
0.67
19
1
Name
Order
Citations
PageRank
Justin Donaldson1867.91