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Nundlall et al., 2018 - Google Patents

A hybrid recommendation technique for big data systems

Nundlall et al., 2018

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Document ID
10507543579565179431
Author
Nundlall C
Sohun G
Nagowah S
Publication year
Publication venue
2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)

External Links

Snippet

Recommender systems are engines that recommend new items to users by analyzing their preferences. The web contains a large amount of information in the form of ratings, reviews, feedback on items and other unstructured data. These details are extracted to get …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval 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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    • G06Q10/101Collaborative creation of products or services
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    • G06Q30/00Commerce, e.g. shopping or e-commerce
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    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models

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