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Yadav, 2022 - Google Patents

Hybrid recommendation system using product reviews

Yadav, 2022

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Document ID
1880107829626065537
Author
Yadav V
Publication year

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Snippet

Several businesses/smart applications rely on personalizing their services to adapt to the user's preferences. Personalized services are developed using recommendation systems based on user's feedback on products/services, needs, habits and social or demographic …
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Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
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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
    • G—PHYSICS
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    • G06F17/3053—Query processing with adaptation to user needs using ranking
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    • G06Q10/00—Administration; Management

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