Recommendation System with Biclustering
The massive growth of online commercial data has raised the request for an automatic recommender system to benefit both users and merchants. One of the most frequently used recommendation methods is collaborative filtering, but its accuracy is limited by the sparsity of the rating dataset. Most exis...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2022-12-01
|
Series: | Big Data Mining and Analytics |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2022.9020012 |