Summer 2005 Reading Group
Objectives
The aim of this reading group is to keep ourselves abreast of the latest developments and trends in Information Retrieval, Data Mining, Machine Learning and other related areas of research. Towards this objective, we will aim at reading one paper each week from recent proceedings of SIGIR, CIKM, KDD, ICML, NIPS, AAAI, IJCAI and other related conferences and journals.
Paper selection algorithm
I propose the following "democratic" algorithm for choosing papers to read:
- Anyone is free to post papers to this web site at any time.
- Group members are expected to cast their votes to a paper that they find interesting by signing their name below the paper. Members are expected to check this page frequently and cast their votes whenever a new paper is seen.
- For any given week, the most popular paper by the end of the previous week will be chosen for reading. In case of a tie, the earliest posted paper among the tied ones will be chosen so as to encourage people to post as early as possible. Please insert your paper at the end of the list to maintain the time order of posting.
- The member who posted the paper selected for reading will be expected to lead the discussion on that paper, unless otherwise stated.
Reading Schedule
Weekly meetings will be on Tuesdays in room 150 from 3:00pm to 4:00pm.
- July 25th
- paper: Learning to Rank using Gradient Descent, Chris Burges,Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, Greg Hullender, ICML 2005 PDF
- Discussion lead by: RameshNallapati
- Votes: RameshNallapati, DonMetzler, MarkSmucker, FernandoDiaz
Proposed papers for future reading: Please post & vote below
- Text Classification with Kernels on the Multinomial Manifold, Dell Zhang, Xi Chen, Wee Sun Lee, SIGIR 2005. PDF
- Information Retrieval System Evaluation: Effort, Sensitivity, and Reliability, Mark Sanderson, Justin Zobel. SIGIR 2005. PDF
- The Loquacious User: A Document-Independent Source of Terms for Query Expansion, Diane Kelly, Vijay Deepak Dollu, Xin Fu. SIGIR 2005. (Link to paper will be here when available.)
- Do Summaries Help?, Kathleen McKeown?; Rebecca Passonneau; David Elson; Ani Nenkova; Julia Hirschberg. SIGIR 2005. PDF
- A Study of Factors Affecting the Utility of Implicit Relevance Feedback, Ryen W. White, Ian Ruthven, and Joemon M. Jose. SIGIR 2005. PDF
- Accurately Interpreting Clickthrough Data as Implicit Feedback, Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, Geri Gay. SIGIR 2005. PDF
- Learning to extract information from semi-structured text using a discriminative context free grammar, Mukund Narasimhan, Paul Viola. SIGIR 2005. PDF
- Personalizing Search via Automated Analysis of Interests and Activites, Jaime Teevan, Susan T. Dumais and Eric Horvitz. SIGIR 2005. PDF
- A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance, Andrew McCallum?, Kedar Bellare and Fernando Pereira. UAI 2005. PDF
- Query-sensitive similarity measures for the calculation of interdocument relationships, Tombros,A. van Rijsbergen,C.J.. CIKM 2001.PDF
- Multi-way Distributional Clustering via Pairwise Interactions, R. Bekkerman, R. El-Yaniv and A. McCallum?. In Proceedings of ICML 2005.PDF
- Boosting Web Retrieval through Query Operations, Mishne, Gilad and de Rijke, Maarten, ECIR 2005 PDF
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RameshNallapati - 24 Jun 2005
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