Park et al., 2011 - Google Patents

Session-based collaborative filtering for predicting the next song

Park et al., 2011

Document ID: 5546769025432808748
Author: Park S; Lee S; Lee S
Publication year: 2011
Publication venue: 2011 First ACIS/JNU International Conference on Computers, Networks, Systems and Industrial Engineering

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Most music recommender systems produce a set of recommendation based on user's previous preference. But the information is not always attainable. Focusing on the fact that music listening behavior is a repetitive action of playing one song at a time, we predict the …

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Classifications

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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- 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
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- 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
- G06F17/30752—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 using information manually generated, e.g. tags, keywords, comments, title or artist information, time, location or usage information, user ratings
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- G06F17/30743—Audio data retrieval using features automatically derived from the audio content, e.g. descriptors, fingerprints, signatures, MEP-cepstral coefficients, musical score, tempo
- G—PHYSICS
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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