Contemporary Recommendation Systems on Big Data and Their Applications: A Survey

Contemporary Recommendation Systems on Big Data and Their Applications: A Survey

This survey paper provides a comprehensive analysis of the evolution and current landscape of recommendation systems, extensively used across various web applications. It categorizes recommendation techniques into four main types: content-based, collaborative filtering, knowledge-based, and hybrid a...

Full description

Saved in:
Bibliographic Details
Main Authors: Ziyuan Xia, Anchen Sun, Jingyi Xu, Yuanzhe Peng, Rui Ma, Minghui Cheng
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Recommendation system
big data
machine learning
sustainability
Online Access:https://ieeexplore.ieee.org/document/10798416/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10798416/

Similar Items