Wang et al., 2020 - Google Patents
A Tri‐Attention Neural Network Model‐BasedRecommendationWang et al., 2020
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- 5507524880840161864
- Author
- Wang N
- Yang L
- Zheng Y
- Cai X
- Mei X
- Dai H
- Publication year
- Publication venue
- Complexity
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Snippet
Heterogeneous information network (HIN), which contains various types of nodes and links, has been applied in recommender systems. Although HIN‐based recommendation approaches perform better than the traditional recommendation approaches, they still have …
- 230000001537 neural 0 title abstract description 17
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
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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
- G06Q30/0241—Advertisement
- G06Q30/0251—Targeted advertisement
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