Chad Williams

Information Systems · 2005–2007

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 18 citations into it
• Management Science and Operations Research — 8 citations into it
• Computer Networks and Communications — 6 citations into it

Whom Chad Williams trusts overall

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

1. Jonathan L. Herlocker
2. Ken Lang

Papers from Chad Williams's perspective

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

1. An algorithmic framework for performing collaborative filtering
2. Empirical Analysis of Predictive Algorithms for Collaborative Filtering
3. Algorithms for Clustering Data
4. Item-based collaborative filtering recommendation algorithms
5. Shilling recommender systems for fun and profit
6. Evaluating collaborative filtering recommender systems
7. Automatic personalization based on Web usage mining
8. gSpan: graph-based substructure pattern mining
9. NewsWeeder: Learning to Filter Netnews
10. Incremental clustering and dynamic information retrieval

Their papers

• Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness (2007) — 513 citations
• Effective Attack Models for Shilling Item-Based Collaborative Filtering Systems (2005) — 125 citations