Liu et al., 2016 - Google Patents
Analyzing user preference for social image recommendationLiu et al., 2016
View PDF- Document ID
- 5663225367585323082
- Author
- Liu X
- Tsai M
- Huang T
- Publication year
- Publication venue
- arXiv preprint arXiv:1604.07044
External Links
Snippet
With the incredibly growing amount of multimedia data shared on the social media platforms, recommender systems have become an important necessity to ease users' burden on the information overload. In such a scenario, extensive amount of heterogeneous information …
- 239000011159 matrix material 0 abstract description 26
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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- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
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- G06F17/30386—Retrieval requests
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- G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
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- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
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- G06Q10/00—Administration; Management
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