A New Users Rating-Trend Based Collaborative Denoising Auto-Encoder for Top-N Recommender Systems

A New Users Rating-Trend Based Collaborative Denoising Auto-Encoder for Top-N Recommender Systems

To promote online businesses and sales, e-commerce industry focuses to fulfill users' demands by giving them top set of recommendations which are ranked through different ranking measures.Deep learning based auto-encoder models have further improved the performance of recommender systems. A sta...

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Bibliographic Details
Main Authors: Zeshan Aslam Khan, Syed Zubair, Kashif Imran, Rehan Ahmad, Sharjeel Abid Butt, Naveed Ishtiaq Chaudhary
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Auto-encoders
collaborative filtering
denoising
e-commerce
recommender systems
top-N recommendations
Online Access:https://ieeexplore.ieee.org/document/8830343/

Internet

https://ieeexplore.ieee.org/document/8830343/

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