Zhang et al., 2019 - Google Patents
Proposal of context-aware music recommender system using negative samplingZhang et al., 2019
View PDF- Document ID
- 13824080260067766640
- Author
- Zhang J
- Takama Y
- Publication year
- Publication venue
- Annual Conference of the Japanese Society for Artificial Intelligence
External Links
Snippet
This is an extension from a selected paper from JSAI2019. This paper proposes a method for recommending music items considering listeners' context information. Recently, users can enjoy music easily regardless of time and a place due to evolution of online music …
Classifications
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- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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- G06F17/30023—Querying
- G06F17/30038—Querying based on information manually generated or based on information not derived from the media content, e.g. tags, keywords, comments, usage information, user ratings
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- G06F17/3074—Audio data retrieval
- G06F17/30749—Audio data retrieval using information manually generated or using information not derived from the audio data, e.g. title and artist information, time and location information, usage information, user ratings
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- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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