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Ge et al., 2017 - Google Patents

A survey of multimedia recommender systems: Challenges and opportunities

Ge et al., 2017

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Document ID
5438322098688528018
Author
Ge M
Persia F
Publication year
Publication venue
International Journal of Semantic Computing

External Links

Snippet

Multimedia information has been extensively growing from a variety of sources such as cameras or video recorders. In order to select the useful multimedia objects, multimedia recommender system has been emerging as a tool to help users choose which multimedia …
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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
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    • G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
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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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