Learning Concept Importance Using a Weighted Dependence Model

by Michael Bendersky , Donald Metzler , W. Bruce Croft
Citations:26 - 14 self

Active Bibliography

Modeling Reformulation Using Query Distributions – unknown authors
4 Parameterized Concept Weighting in Verbose Queries – Michael Bendersky, Donald Metzler, W. Bruce Croft - 2011
9 Learning to Efficiently Rank – Lidan Wang, Jimmy Lin, Donald Metzler
Performance, Experimentation – Craig Macdonald, Iadh Ounis
1 Joint Annotation of Search Queries – Michael Bendersky, W. Bruce Croft, David A. Smith
7 Two-stage query segmentation for information retrieval – Michael Bendersky, W. Bruce Croft, David Smith - 2009
4 Improving retrievability of patents in prior-art search – Shariq Bashir, Andreas Rauber
Modeling higher-order term dependencies . . . – Michael Bendersky, et al. - 2012
5 Modeling reformulation using passage analysis – Xiaobing Xue, W. Bruce, Croft David, A. Smith - 2010
21 Analysis of long queries in a large scale search log – Michael Bendersky, W. Bruce Croft - 2009
32 Query Reformulation Using Anchor Text – Van Dang, W. Bruce Croft
5 Evaluating verbose query processing techniques – Samuel Huston, W. Bruce Croft - 2010
A Large Scale Validation and Analysis of Interleaved Search Evaluation – Olivier Chapelle, Thorsten Joachims, Filip Radlinski Microsoft
7 Large-Scale Validation and Analysis of Interleaved Search Evaluation – Olivier Chapelle, Thorsten Joachims, Filip Radlinski , YISONG YUE - 2012
Measurement inInformation Retrieval Evaluation – William Edwardwebber
16 The TREC 2006 Terabyte Track – Stefan Büttcher, Charles L. A. Clarke, Ian Soboroff - 2006
3 Effective query formulation with multiple information sources – Michael Bendersky, Donald Metzler, W. Bruce Croft - 2012
oro.open.ac.uk Using Dempster-Shafer’s Evidence Theory for Query Expansion Based on Freebase Knowledge – C Springer, Dazhao Pan, Peng Zhang, Jingfei Li, Dawei Song, Ji-rong Wen, Bin Hu, Yuan Jia, Anne De Roeck
Leveraging Collection Structure in Information Retrieval With Applications to Search in Conversational Social Media – Jonathan L. Elsas