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Nachiappan et al., 2022 - Google Patents

OSIBR: ontology focused semantic intelligence approach for book recommendation

Nachiappan et al., 2022

Document ID
8346171748302058285
Author
Nachiappan R
Deepak G
Publication year
Publication venue
International Conference on Digital Technologies and Applications

External Links

Snippet

With the dawn of digital books on the web, finding reliable book suggestions has become a complicated question, and several significant machine learning algorithms were developed to address such requests. Also, there exists a problem of the prevailing recommendation …
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
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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
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    • G06F17/30731—Creation of semantic tools
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    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
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    • G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
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