Paper Info
Title
Generating fine-grained reviews of songs from album reviews
Abstract
Music Recommendation Systems often recommend individual songs, as opposed to entire albums. The challenge is to generate reviews for each song, since only full album reviews are available on-line. We developed a summarizer that combines information extraction and generation techniques to produce summaries of reviews of individual songs. We present an intrinsic evaluation of the extraction components, and of the informativeness of the summaries; and a user study of the impact of the song review summaries on users' decision making processes. Users were able to make quicker and more informed decisions when presented with the summary as compared to the full album review.
Year
Venue
Keywords
2010
ACL
generating fine-grained review,generation technique,song review summary,music recommendation systems,intrinsic evaluation,entire album,full album review,informed decision,information extraction,extraction component,individual song
Field
DocType
Volume
Recommender system,Computer science,Information extraction,Natural language processing,Artificial intelligence
Conference
P10-1
Citations 
PageRank 
References 
8
0.46
15
Authors
2
Name
Order
Citations
PageRank
Swati Tata180.80
Barbara Di Eugenio2801109.27