Ian Ruthven

Information Retrieval & Search · 2003

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Information Retrieval & Search — 10 citations into it
• Artificial Intelligence — 8 citations into it
• Information Systems — 8 citations into it; #1,424 of 8,771 by trust here, #4,682 by citations

Whom Ian Ruthven trusts overall

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

1. Stephen E. Robertson
2. Karen Spärck Jones
3. S. Walker
4. Thomas Hofmann
5. David M. Blei
6. Arkadiusz Paterek
7. T. Griffiths
8. Mark Steyvers
9. Ellen M. Voorhees
10. Michael I. Jordan

Who trusts Ian Ruthven overall

1. Shivani Rao
2. Ofer Egozi
3. Jaime Teevan
4. Sotirios P. Chatzis
5. Hamed Zamani
6. Haotian Zhang
7. Lin-Shan Lee
8. A. Kak
9. Mark D. Smucker
10. Jimmy J. Lin

Papers from Ian Ruthven's perspective

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

1. An algorithm for suffix stripping
2. Latent Dirichlet Allocation
3. Okapi at TREC-3
4. The probability ranking principle in IR
5. On Relevance, Probabilistic Indexing and Information Retrieval
6. Finding scientific topics
7. A statistical interpretation of term specificity and its application in retrieval
8. Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
9. ImageNet classification with deep convolutional neural networks
10. Modeling User Rating Profiles For Collaborative Filtering (Neural Information Processing Systems)

Their papers

• A survey on the use of relevance feedback for information access systems (2003) — 493 citations
• Strathprints Institutional Repository Bayesian Latent Variable Models for Collaborative Item Rating Prediction. In: Acm Cikm, 2011-03-31. Bayesian Latent Variable Models for Collaborative Item Rating Prediction