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Nasir et al., 2023 - Google Patents

A survey and taxonomy of sequential recommender systems for e-commerce product recommendation

Nasir et al., 2023

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Document ID
10871085426029147188
Author
Nasir M
Ezeife C
Publication year
Publication venue
SN Computer Science

External Links

Snippet

E-commerce recommendation systems facilitate customers' purchase decision by recommending products or services of interest (eg, Amazon). Designing a recommender system tailored toward an individual customer's need is crucial for retailers to increase …
Continue reading at core.ac.uk (PDF) (other versions)

Classifications

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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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    • 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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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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