Foundations and Trends® in Information Retrieval Editors-in-Chief: Jamie Callan, Carnegie Mellon University www.cs.cmu.edu/~callan/ Fabrizio Sebastiani, Consiglio Nazionale delle Ricerche nmis.isti.cnr.it/sebastiani/ Print ISSN: 1554-0669 Online ISSN: 1554-0677 Americas USD 360 / All other countries EURO 360 (electronic) Americas USD 410 / All other countries EURO 410 (combined) Published Issues Each issue of the journal is available online. If your institution subscribes you will have access to the full text HTML and PDF of the journal. See "Do I have Online Access? If your institution does not subscribe, each issue is available for purchase as a book or e-book. Volume 4, Issue 3 Web Crawling By Chris Olston (Yahoo! Research) and Marc Najork (Microsoft Research) Volume 4, Issue 1-2 Mining Query Logs: Turning Search Usage Data into Knowledge By Fabrizio Silvestri (ISTI - CNR, Italy) Volume 3, Issue 4 The Probabilistic Relevance Model: BM25 and Beyond By Stephen Robertson (Microsoft Research) and Hugo Zaragoza (Yahoo! Research) Volume 3, Issue 3 Learning to Rank for Information Retrieval By Tie-Yan Liu (Microsoft Research Asia) Volume 3, Issue 1-2 Methods for Evaluating Interactive Information Retrieval Systems with Users By Diane Kelly (University of North Carolina) Volume 2, Issue 4 Concept-Based Video Retrieval By Cees G. M. Snoek and Marcel Worring (University of Amsterdam) Volume 2, Issue 3 Statistical Language Models for Information Retrieval: A Critical Review By ChengXiang Zhai (UIUC) Volume 2, Issue 1-2 Opinion Mining and Sentiment Analysis By Bo Pang (Yahoo! Research) and Lillian Lee (Cornell) Volume 1, Issue 4 Email Spam Filtering: A Systematic Review By Gordon Cormack (University of Waterloo) Volume 1, Issue 3 Authorship Attribution By Patrick Juola (Duquesne University) Volume 1, Issue 2 Open-Domain Question-Answering By John Prager (IBM) Volume 1, Issue 1 Music Retrieval: A Tutorial and Review By Nicola Orio (University of Padova) Upcoming Issues Test Collection Evaluation of Ad-hoc Retrieval Systems By Mark Sanderson (University of Sheffield) Adversarial Web Search By Carlos Castillo (Yahoo! Research) and Brian Davison (Lehigh University)