A Novel Deep Hybrid Recommender System Based on Auto-encoder with Neural Collaborative Filtering

A Novel Deep Hybrid Recommender System Based on Auto-encoder with Neural Collaborative Filtering

Due to the widespread availability of implicit feedback (e.g., clicks and purchases), some researchers have endeavored to design recommender systems based on implicit feedback. However, unlike explicit feedback, implicit feedback cannot directly reflect user preferences. Therefore, although more cha...

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Bibliographic Details
Main Authors: Yu Liu, Shuai Wang, M. Shahrukh Khan, Jieyu He
Format: Article
Language:English
Published: Tsinghua University Press 2018-09-01
Series:Big Data Mining and Analytics
Subjects:
hybrid recommender system
neural collaborative filtering
auto-encoder
implicit feedback
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2018.9020019

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