| Date |
Topic |
Reading |
Presenter |
| 01/07 |
Learning-to-rank loss functions |
Sebastian Bruch, Shuguang Han, Michael Bendersky, Marc Najork: A Stochastic Treatment of Learning to Rank Scoring Functions |
Suraj Nair |
| 01/14 |
Graded relevance |
Jiepu Jiang, Ahmed Hassan Awadallah, Xiaolin Shi, Ryen W. White: Understanding and Predicting Graded Search Satisfaction |
Xin Qian |
| 01/21 |
Active learning and collections |
Md Mustafizur Rahman, Mucahid Kutlu, Tamer Elsayed, Matthew Lease: Efficient Test Collection Construction via Active Learning |
Mahmoud F. Sayed |
| 01/28 |
Writing group |
|
|
| 02/04 |
Writing group |
|
|
| 02/11 |
Machine learning |
Ravit Dotan, Smitha Milli: Value-laden Disciplinary Shifts in Machine Learning |
Pedro Rodriguez |
| 02/18 |
Personal collections recommendation |
Tara Safavi et al.: Toward Activity Discovery in the Personal Web |
Doug Oard |
| 02/25 |
Conditions for data fusion |
Christopher C. Vogt and Garrison W. Cottrell: Predicting the performance of linearly combined IR systems and Steven M. Beitzel et al.: Disproving the Fusion Hypothesis: An Analysis of Data Fusion via Effective Information Retrieval Strategies |
Petra Galuscakova |
| 03/04 |
Query expansion |
Guy D. Rosin, Ido Guy, Kira Radinsky: Event-Driven Query Expansion |
Xin Qian |
| 03/11 |
Query performance prediction |
Guglielmo Faggioli, Oleg Zendel, Shane Culpepper, Shane Culpepper and Falk Scholer: An Enhanced Evaluation Framework for Query Performance Prediction |
Peter Rankel |
| 03/18 |
Spring break |
|
|
| 03/25 |
Analyzing neural IR |
Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan: ABNIRML: Analyzing the Behavior of Neural IR Models |
Suraj Nair |
| 04/01 |
Cold start problem |
Ziwei Zhu et al.: Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation |
Mahmoud F. Sayed |
| 04/08 |
No session |
|
|
| 04/15 |
Retrieve-extract-and-generate information systems |
Laura Dietz: How to Automatically Create Relevant Articles |
- |
| 04/22 |
Text and image features |
Guillem Collell and Marie-Francine Moens: How Do Simple Transformations of Text and Image Features Impact Cosine-Based Semantic Match? |
Peter Rankel |
| 04/29 |
Runs ensebmle for TREC Covid |
Michael Bendersky, Honglei Zhuang, Ji Ma,Shuguang Han, Keith Hall, Ryan McDonald: RRF102: Meeting the TREC-COVID Challengewith a 100+ Runs Ensemble |
Petra Galuscakova |
| 05/06 |
Expansion via Prediction of Importance |
Sean MacAvaney et al.: Expansion via Prediction of Importance with Contextualization |
Xin Qian |
| 05/13 |
Document term-weighting |
Antonio Mallia, Omar Khattab, Torsten Suel, Nicola Tonellotto: Learning Passage Impacts for Inverted Indexes |
Suraj Nair |
| 05/20 |
No session |
|
|
