Jeff J. Sandvig
2007
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom Jeff J. Sandvig trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Hofmann
- Rakesh Agrawal
- Jonathan L. Herlocker
- Arthur P. Dempster
- J. Konstan
- Rayadurgam Srikant
- John Riedl
- Nan M. Laird
- Shyong K. Lam
- Donald B. Rubin
Who trusts Jeff J. Sandvig overall
Papers from Jeff J. Sandvig's perspective
Ordered by how strongly the researchers Jeff J. Sandvig trusts endorse each paper. Same corpus, a different order for every researcher.
- Item-based collaborative filtering recommendation algorithms
- An algorithmic framework for performing collaborative filtering
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Shilling recommender systems for fun and profit
- Probabilistic Latent Semantic Analysis
- Evaluating collaborative filtering recommender systems
- Fast Algorithms for Mining Association Rules
- Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness
- Unsupervised Learning by Probabilistic Latent Semantic Analysis
- An open architecture for collaborative filtering of netnews
Their papers
- Robustness of collaborative recommendation based on association rule mining (2007) — 151 citations