Item-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...
Publications
9 shownAn Algorithmic Framework for Performing Collaborative Filtering
column Share on An Algorithmic Framework for Performing Collaborative Filtering Authors: Jonathan L. Herlocker University of Minnesota University of MinnesotaView Profile , Jose...
GroupLens
article Free Access Share on GroupLens: applying collaborative filtering to Usenet news Authors: Joseph A. Konstan Computer Science Department, The University of Minnesota, Minn...
An algorithmic framework for performing collaborative filtering
Article Free Access Share on An algorithmic framework for performing collaborative filtering Authors: Jonathan L. Herlocker Dept. of Computer Science and Engineering, University...
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...
Recommender systems in e-commerce
Article Free Access Share on Recommender systems in e-commerce Authors: J. Ben Schafer GroupLens Research Project, Department of Computer Science and Engineering, University of ...
Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many...
Understanding and improving automated collaborative filtering systems
Automated collaborative filtering (ACF) is a software technology that provides personalized recommendation and filtering independent of the type of content. In an ACF system, 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
- 9
- Publications
- 9
- Citations
- 21,151
- Institution
- University of Minnesota
External Links
Identifiers
- ORCID
- 0000-0002-7788-2748
Impact Metrics
h-index
9
h-index: Number of publications with at least h citations each.