James C. Ford

Information Systems · 2006

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 6 citations into it; #7,451 of 8,771 by trust here, #5,501 by citations

Whom James C. Ford trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. John F. Canny
2. Daniel D. Lee

Who trusts James C. Ford overall

1. Xin Luo
2. Yu-Xiong Wang

Papers from James C. Ford's perspective

Ordered by how strongly the researchers James C. Ford trusts endorse each paper. Same corpus, a different order for every researcher.

1. An algorithmic framework for performing collaborative filtering
2. Application of Dimensionality Reduction in Recommender System - A Case Study
3. An open architecture for collaborative filtering of netnews
4. Eigentaste: A Constant Time Collaborative Filtering Algorithm
5. Learning the parts of objects by non-negative matrix factorization
6. Latent semantic models for collaborative filtering
7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
8. Collaborative filtering with privacy via factor analysis (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
9. Modeling User Rating Profiles For Collaborative Filtering (Neural Information Processing Systems)
10. Spectral analysis of data (Symposium on the Theory of Computing)

Their papers

• Learning from Incomplete Ratings Using Non-negative Matrix Factorization (2006) — 414 citations