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Patil et al., 2019 - Google Patents

Online book recommendation system using association rule mining and collaborative filtering

Patil et al., 2019

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Document ID
11243417296708401196
Author
Patil A
Patil S
Singh K
Saraiya P
Sheregar A
Publication year
Publication venue
International Journal of Computer Science and Mobile Computing

External Links

Snippet

Recommender systems are one of the most effective and prevalent applications of machine learning tools in business. They direct clients towards those items, which can address their requirements through chopping down vast databases of information. There are various …
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
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