Tuesday, January 1, 2008

Past IR-Series Presentations

Friday, November 2, 2007 - 12:00-1:00 pm, Newell-Simon Hall (NSH) 3002
Title: CMU at TREC 2007
Speakers: Jonathan Elsas, Le Zhao and Yangbo Zhu (CMU)

Friday, October 5, 2007 - 12:00-1:00 pm, Newell-Simon Hall (NSH) 3002
Title: Estimating and Exploiting Uncertainty in Pseudo-Relevance Feedback
Speakers: Kevyn Collins-Thompson (CMU)

Friday, July 13, 2007 - 12:00-1:00 pm, Newell-Simon Hall (NSH) 3002
Title: Utility-based Information Distillation Over Temporally Sequenced Documents
Speakers: Yiming Yang (CMU)

Friday, May 18, 2007 - 12:00-1:00 pm, Newell-Simon Hall (NSH) 3002
Title: Collaborative Web Search - Exploiting User Activity for User Benefit
Speaker: Jill Freyne (University College Dublin)

Friday, January 19, 2007 - 12:00 NSH 3002
Title: Using Graphs and Random Walks to Discover Latent Similarities in Text
Speaker: Gunes Erkan

Friday, November 10, 2006, 2007 - 12:00 NSH 3002
Title: Personal Metasearch
Speaker: Paul Thomas

Friday, May 19, 2006 - 12:00 NSH 3002
Title: Collaborative Adaptive User Profile with Implicit and Explicit User Feedback
Speaker: Yi Zhang

Wednesday, April 19, 2006 - 12:00, NSH 3002
Title: Deriving Marketing Intelligence from Online Discussion
Speaker: Matthew Hurst and Natalie Glance

Wednesday, April 5, 2006 - 12:00, NSH 3002
Title: A Graphical Framework for Contextual Search and Name Disambiguation in Email
Speaker: Einat Minkov

Wednesday, March 8, 2006 - 12:00, NSH 3002
Title: Structured and Dynamic Topic Models
Speaker: John Lafferty

Wednesday, February 22, 2006 - 12:00, NSH 3002
Title: Automatically Labeling Hierarchical Clusters
Speaker: Pucktada (Puck) Treeratpituk

Friday, June 3, 2005 - 3:30, WeH 5409
Title: PageRank without Hyperlinks: Structural Re-ranking using Links Induced by Language Models
Speaker: Oren Kurland

Wednesday, April 27, 2005 - 4:30, WeH 4601
Title: Dynamic Construction of Content-Based Topologies in Hierarchical Peer-to-Peer Networks
Speaker: Jie Lu

Wednesday, March 16, 2005 - 4:30, WeH 4601
Title: Modeling Search Engine Effectiveness for Federated Search
Speaker: Luo Si

Wednesday, March 2, 2005 - 4:30, WeH 4623
Title: What is the matter? Explorations in text categorization
Speaker: Lillian Lee

Wednesday, January 19th, 2005 - 4:30, WeH 4601
Title: Detecting Action-Items in E-mail
Speaker: Paul N. Bennett

Wednesday, December 1, 2004 - 3:00, WeH 4625
Title: Probabilistic Models of Text and Images
Speaker: David Blei

Wednesday, November 17, 2004 - 3:00, WeH 4625
Title: Merging Rank Lists from Multiple Sources in Video Classification
Speaker: Wei-Hao Lin

Wednesday, November 10, 2004 - 3:00, WeH 4625
Title: Associating Names with Persons in Broadcast News Video
Speaker: Jun Yang

Wednesday, October 20, 2004 - 3:00, WeH 4625
Title: Graph Mining
Speaker: Christos Faloutsos

Wednesday, October 6, 2004 - 3:00, WeH 4625
Topic: Review of the SIGIR 2004 Best Paper, “ A Formal Study of Information Retrieval Heuristics” by Hui Fang, Tao Tao, and ChengXiang Zhai
Speaker: Kevyn Collins-Thompson

Friday, October 1, 2004 - 1:30, NSH 4513
Title: Combining Language Modeling Approach with String-matching in Near-Duplicate Detection in E-Rulemaking
Speaker: Puck Treeratpituk

Wednesday, September 22, 2004 - 2:30, NSH 4632
Learning to Summarize Interviews for Project Reports
Nikesh Garera

Thursday, August 26, 2004 - 3:30, WeH 4625
Analyzing Time Series Gene Expression Data
Jason Ernst

Tuesday, August 17, 2004 - 2:00, WeH 4625
Learning Table Extraction from Examples
Ashwin Tengli

Thursday, August 12, 2004 - 3:30, WeH 4625
Learning to Classify Email into "Speech Acts"
Vitor Carvalho

Thursday, July 8, 2004 - 3:30, WeH 4625
Resource Selection for Domain-Specific Cross-Lingual IR
Monica Rogati

Tuesday, January 22, 2004 - 12:00, NSH 4513
Dynamic Recommender System on User Taste Tendency Model
Soojung Lee

Thursday, December 4, 2003 - 12:00, NSH 4513
The Robustness of Content-Based Search in Hierarchical Peer to Peer Networks
M. Elena Renda

Thursday, October 30, 2003 - 12:00, NSH 4632
Boosting Support Vector Machines for Text Classification through Parameter-free Threshold Relaxation
Dr. James G. Shanahan

Thursday, October 23, 2003 - 12:00, NSH 4632
Content-Based Retrieval in Hybrid Peer-to-Peer Networks
Jie Lu

Thursday, October 16, 2003 - 12:00, NSH 4632
The Utility of Question Analysis in an Open-Domain Question Answering System
Yifen Huang

Thursday, August 28, 2003 - 3:30, NSH 4632
Searching Peer-to-Peer Networks
Dr. Bin Yu

Thursday, August 14, 2003 - 3:30, NSH 3001
Flexible Mixture Model for Collaborative Filtering
Luo Si

Modified Logistic Regression: An Approximation to SVM and its Applications in Large-Scale Text Categorization
Jian Zhang

Thursday, June 19, 2003 - 3:30, NSH 3001
Improving Text Classifier Probability Estimates
Paul Bennett

Thursday, June 5, 2003 - 3:30, NSH 3002
Radio Station Playlist Generation
Andrew P. Widdowson

Thursday, May 22, 2003 - 3:30, NSH 3001
Discussion on Secondary Structure Prediction for Protein Sequences
Yan Liu

Thursday, May 8, 2003 - 3:30, NSH 3001
Negative Pseudo Relevance Feedback for Multimedia Retrieval
Rong Yan

Thursday, April 10, 2003 - 3:30, NSH 3001
Web Image Retrieval Re-Ranking with Relevance Model
Wei-Hao Lin

Thursday, March 27, 2003 - 3:30, NSH 3001
Clustering Genes
Fan Li

Thursday, March 13, 2003 - 3:30, NSH 3001
Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
Yi Zhang

Thursday, February 27, 2003 - 3:30, NSH 3001
Beyond Independent Topical Relevance: Evaluation Metrics and Methods for Aspect Retrieval
Dr. William Cohen

Thursday, February 13, 2003 - 3:30, NSH 3001
Overview of Database Selection Methods
Luo Si

Tuesday, January 14, 2003 - 11:00-12:30, Wean 4632
Topics and Techniques in (Structured) Document Retrieval
Paul Ogilvie

Instructions for Presenters

As the discussion series has progressed, our goals for the presentations have evolved. In addition to generating discussion among researchers, we have come to recognize the value of the series as a means to refine our presentation skills. In light of this, here are some guidelines for creating your presentation:

  • When preparing your presentation, view this as a normal conference talk and prepare accordingly.
  • Please prepare a short (20-30 minute) talk or a long (45 minute) talk according to the time slot the organizer has reserved.
  • You should assume that the audience is knowledgeable in IR and many of the techniques commonly used in the field. Unless the purpose of your talk is a general overview of a research problem, you should assume that the related research can be covered very briefly (one or two slides).
  • Focus on presenting your thoughts, issues, and contributions to the problem at hand.
  • If you have extra material that won't fit in the talk, prepare slides for them as it is very likely that we will be willing to hear more about the subject after the main talk is over.
  • Please don't be afraid to present work in progress. Even with the change of presentation format to conference talk style , we are still driven by our original goals of learning about current research and fostering collaboration on work in progress.

Thanks are due to Yiming Yang for some helpful suggestions.

About the Series

The CMU-IR Discussion Series is a student-run initiative to encourage discussion and foster research between the multiple Information Retrieval research groups here at Carnegie Mellon. We intend the informal presentations to be a vehicle for:
  • learning about each others' research,
  • discussing the big (and little) problems of a research area, and
  • fostering collaboration across groups.
The presentations in this series are of an informal nature. Interruptions, questions, and discussions on tangents are encouraged and welcomed. We wish this to be a low-stress, relaxed opportunity for our presenters to discuss topics of interest with us. Our interpretation of the meaning of "information retrieval" is fairly broad; we welcome discussions of related fields (Machine Learning, Agents, Statistics, and so on). While most of the presentations are from students researching Information Retrieval here at CMU, we also welcome discussions from students and faculty in other programs and institutions as well as industry professionals.

One of the goals of the series is to strike a nice balance between area overview presentations and technical presentations on specific approaches. Because many of us work on quite different areas of Information Retrieval, we often find it beneficial to have discussions that focus on the important problems in our respective research areas and the techniques that have been found to be broadly useful (and occasionally the spectacular failures). In order to keep grounded, we also have some technical discussions on specific techniques and approaches.

In an effort to make this series a valuable resource for others, we plan on posting the authors' slides (with permission). We also ask that authors provide a short reading list of articles (preferably online) for people who want to learn about the topics in more depth.

For LTI students: a presentation in the IR Discussion Series can fulfill your annual LTI talk requirement. Let us know if you wish to do this more than a week in advance, so that we can advertise the talk according to policy. You will still be required to make sure two faculty are present and that they fill out the form after your presentation.