Survey of Different Recommendation Systems to Improve the Marketing Strategies on E-commerce
Author:
Affiliation:
1. Maharishi Markandeshwar (Deemed to be University),Department of Computer Science,Mullana,Ambala,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9850394/9850440/09850543.pdf?arnumber=9850543
Reference30 articles.
1. Improving the Performance of an Artificial Intelligence Recommendation Engine with Deep Learning Neural Nets
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4. A recommender system for tourism industry using cluster ensemble and prediction machine learning techniques
5. Structural Balance Theory-Based E-Commerce Recommendation over Big Rating Data
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