Personalized News Recommendation and Simulation Based on Improved Collaborative Filtering Algorithm
Faced with massive amounts of online news, it is often difficult for the public to quickly locate the news they are interested in. The personalized recommendation technology can dig out the user’s interest points according to the user’s behavior habits, thereby recommending the news that may be of i...
Saved in:
Main Author: | Kunni Han |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/8834908 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Personalized Music Recommendation Simulation Based on Improved Collaborative Filtering Algorithm
by: Hui Ning, et al.
Published: (2020-01-01) -
An Improved Recommendation Method Based on Content Filtering and Collaborative Filtering
by: Lei Fu, et al.
Published: (2021-01-01) -
Course Recommendations in Online Education Based on Collaborative Filtering Recommendation Algorithm
by: Jing Li, et al.
Published: (2020-01-01) -
Personal Recommendation Using a Novel Collaborative Filtering Algorithm in Customer Relationship Management
by: Chonghuan Xu
Published: (2013-01-01) -
Interaction Design of Educational App Based on Collaborative Filtering Recommendation
by: Ying Xu, et al.
Published: (2022-01-01)