Li et al., 2021 - Google Patents
Session Recommendation Model Based on Context‐Aware and Gated Graph Neural NetworksLi et al., 2021
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- 11584155165485630979
- Author
- Li D
- Gao Q
- Publication year
- Publication venue
- Computational Intelligence and Neuroscience
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Snippet
The graph neural network (GNN) based approach has been successfully applied to session‐ based recommendation tasks. However, in the face of complex and changing real‐world situations, the existing session recommendation algorithms do not fully consider the context …
- 230000001537 neural 0 title abstract description 19
Classifications
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- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30533—Other types of queries
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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
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- G06—COMPUTING; CALCULATING; COUNTING
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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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- 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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