Item-based top-<i>N</i>recommendation algorithms
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems ---a personalized information filtering technology u...
Publications
5 shownItem-based collaborative filtering recommendation algorithms
Article Share on Item-based collaborative filtering recommendation algorithms Authors: Badrul Sarwar GroupLens Research Group/Army HPC Research Center, Department of Computer Sc...
Analysis of recommendation algorithms for e-commerce
Article Free Access Share on Analysis of recommendation algorithms for e-commerce Authors: Badrul Sarwar GroupLens Research Group / Army HPC Research Center, Department of Compu...
Evaluation of Item-Based Top- <i>N</i> Recommendation Algorithms
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems---a personalized information filtering technology us...
Application of Dimensionality Reduction in Recommender System - A Case Study
We investigate the use of dimensionality reduction to improve performance for a new class of data analysis software called "recommender systems".Recommender systems apply knowle...
Frequent Co-Authors
Researcher Info
- h-index
- 5
- Publications
- 5
- Citations
- 14,842
- Institution
- University of Minnesota
External Links
Identifiers
- ORCID
- 0000-0003-2753-1437
Impact Metrics
h-index
5
h-index: Number of publications with at least h citations each.