Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting-Reference-Cited by-同舟云学术

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Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting

Published:2016-06 Issue:2 Volume:2 Page:212-224
ISSN:2095-8099
Container-title:Engineering
language:en
Short-container-title:Engineering

Author:

Cao Longbing

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology,Materials Science (miscellaneous),General Chemical Engineering,Environmental Engineering,General Computer Science

Reference60 articles.

1. Recommender systems: an introduction;Jannach,2010

2. Recommender systems handbook,2015

3. Data science: a comprehensive overview. Technical report;Cao,2016

4. Big data: the next frontier for innovation, competition, and productivity;McKinsey Global Institute,2011

5. Non-IIDness learning in behavioral and social data;Cao;Comput J,2014

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