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Cheng et al., 2016 - Google Patents

On effective personalized music retrieval by exploring online user behaviors

Cheng et al., 2016

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Document ID
6363991777687536487
Author
Cheng Z
Jialie S
Hoi S
Publication year
Publication venue
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

External Links

Snippet

In this paper, we study the problem of personalized text based music retrieval which takes users' music preferences on songs into account via the analysis of online listening behaviours and social tags. Towards the goal, a novel Dual-Layer Music Preference Topic …
Continue reading at ink.library.smu.edu.sg (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/3066—Query translation
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    • G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
    • G06F17/30023—Querying
    • G06F17/30029—Querying by filtering; by personalisation, e.g. querying making use of user profiles
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce

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