Research on collaborative filtering algorithm based on improved K-means algorithm for user attribute rating and co-rating
Abstract In response to the challenges of information overload in large datasets, as well as issues related to data sparsity and cold starts in traditional recommendation algorithms, this paper proposes a collaborative filtering algorithm based on an enhanced K-means algorithm for user attribute rat...
Saved in:
| Main Authors: | ShengShai Zhang, Shiping Chen, Xiaodong Yu, Shaowei Mei |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-96705-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
User fuzzy similarity-based collaborative filtering recommendation algorithm
by: tao WUYi, et al.
Published: (2016-04-01) -
Application of Improved K-Means Algorithm in Collaborative Recommendation System
by: Hui Jing
Published: (2022-01-01) -
A Collaborative Filtering Recommendation Algorithm Based on User Confidence and Time Context
by: Guangxia Xu, et al.
Published: (2019-01-01) -
Collaborative filtering recommendation algorithm based on hybrid clustering and user preferences fusion
by: Ma Tian, et al.
Published: (2022-04-01) -
Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm
by: Zhenning Yuan, et al.
Published: (2021-01-01)