User model-based personalized recommendation algorithm for news media education resources
Traditional recommendations for news and media education resources usually ignore the importance of sequential patterns in user check-in behavior and fail to effectively capture the complex and dynamically changing interests of users. As a result, this study provides a recommendation model for news...
Saved in:
Main Author: | Shilin, Zhu |
---|---|
Format: | Article |
Published: |
Hindawi Ltd
2022
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/42320/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A study on personalized recommender system using social media
by: Aishnivya, Balamurugan
Published: (2020) -
A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata
by: Darvishy, Asghar
Published: (2019) -
Innovative characteristics of users' intention to continue using personalized recommendation news apps
by: Chen, Yijie, et al.
Published: (2022) -
User-centered evaluation of privacy models for protecting personal medical information
by: Samsuri, S., et al.
Published: (2011) -
Goal-based hybrid filtering for user-to-user personalized recommendation
by: Chughtai, Muhammad Waseem, et al.
Published: (2013)