Work

DeepHCF: A Deep Learning Based Hybrid Collaborative Filtering Approach for Recommendation Systems

Year: 2018

Type: conference-paper

Source: International Conference on Machine Learning and Applications

DOI: 10.1109/icmla.2018.00021

Authors: Meshal Alfarhood, Jianlin Cheng

Institution: University of Missouri

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: King Saud University

OpenAlex ID: W2909127675

FWCI: 1.962

Cites: 26

Cited by: 22

Related to: 10