Utilizing context-relevant keywords extracted from a large collection of user-generated documents for music discovery

作者：

Highlights：

• Our system develops generalized context-relevant music descriptors by extracting keywords from a large collection of user-generated documents.

• The music descriptors contain various context-relevant terms which could enhance semantic music search/discovery.

• We identified a correlation between the proposed music descriptors with conventional features such as acoustic features or lyrics.

• User studies confirm that the proposed method can be applied to semantic music search/discovery and context-aware music recommendation.

摘要

•Our system develops generalized context-relevant music descriptors by extracting keywords from a large collection of user-generated documents.•The music descriptors contain various context-relevant terms which could enhance semantic music search/discovery.•We identified a correlation between the proposed music descriptors with conventional features such as acoustic features or lyrics.•User studies confirm that the proposed method can be applied to semantic music search/discovery and context-aware music recommendation.

论文关键词：Context-relevant keywords,Song-document association,Keyword extraction,Music descriptors,Music retrieval

论文评审过程：Received 16 October 2016, Revised 26 February 2017, Accepted 17 April 2017, Available online 29 May 2017, Version of Record 29 May 2017.

论文官网地址：https://doi.org/10.1016/j.ipm.2017.04.006