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Taneja et al., 2018 - Google Patents

Recommendation research trends: review, approaches and open issues

Taneja et al., 2018

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Document ID
2878526550474985025
Author
Taneja A
Arora A
Publication year
Publication venue
International journal of web engineering and technology

External Links

Snippet

Recommendation systems have been well established to reduce the problem of information overload and have become one of the most valuable tools applicable to different domains like computer science, mathematics, psychology, etc. The initial interest to write this survey is …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • 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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    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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    • G06Q10/063Operations research or analysis
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    • G06Q50/01Social networking
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    • G06Q10/00Administration; Management
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    • GPHYSICS
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    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run

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