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Malik et al., 2022 - Google Patents

EPR-ML: E-Commerce Product Recommendation Using NLP and Machine Learning Algorithm

Malik et al., 2022

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Document ID
12650265762637290861
Author
Malik V
Mittal R
SIngh S
Publication year
Publication venue
2022 5th International Conference on Contemporary Computing and Informatics (IC3I)

External Links

Snippet

Using tags and other forms of textual information, online retailers can create their product listings, descriptions, and categories. E-commerce information services, such as search and product recommendation, depend significantly on textual features to assist buyers in finding …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
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    • 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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping
    • G—PHYSICS
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    • G06Q10/00—Administration; Management
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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01—Social networking

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