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Gao et al., 2024 - Google Patents

BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation

Gao et al., 2024

Document ID
12835790305395661382
Author
Gao A
Qin J
Ma C
Wang T
Publication year
Publication venue
Journal of Intelligent Information Systems

External Links

Snippet

In the domain of sequence recommendation, contextual information has been shown to effectively improve the accuracy of predicting the user's next interaction. However, existing studies do not consider the dependencies between contextual information and item …
Continue reading at link.springer.com (other versions)

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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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
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    • G06F17/30522—Query processing with adaptation to user needs
    • G06F17/3053—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06N5/04—Inference methods or devices
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    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06Q10/00—Administration; Management

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