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Nurcahya et al., 2020 - Google Patents

Content-based recommender system architecture for similar e-commerce products

Nurcahya et al., 2020

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Document ID
1771014736758921376
Author
Nurcahya A
Supriyanto S
Publication year
Publication venue
Jurnal Informatika Ahmad Dahlan

External Links

Snippet

Recommendation systems are quite famous and are increasingly being used on ecommerce platforms for a variety of purposes. The recommendation system technique used also varies greatly depending on the scope and Item of recommendation. Content-based filtering, for …
Continue reading at www.academia.edu (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
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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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    • G06Q10/00—Administration; Management

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