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Rashidi et al., 2022 - Google Patents

Proposing improved meta-heuristic algorithms for clustering and separating users in the recommender systems

Rashidi et al., 2022

Document ID
3083241875239536019
Author
Rashidi R
Khamforoosh K
Sheikhahmadi A
Publication year
Publication venue
Electronic Commerce Research

External Links

Snippet

To offer an appropriate recommendation to customers in recommender systems, the issue of clustering and separating users with different tastes from the rest of people is of significant importance. The MkMeans++ algorithm is a technique for clustering and separating users in …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30522—Query processing with adaptation to user needs
    • G06F17/3053—Query processing with adaptation to user needs using ranking
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    • 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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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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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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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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