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Performance, Experimentation
– Craig Macdonald, Iadh Ounis
|
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2
|
Learning to Efficiently Rank
– Lidan Wang, Jimmy Lin, Donald Metzler
|
|
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Joint Annotation of Search Queries
– Michael Bendersky, W. Bruce Croft, David A. Smith
|
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5
|
Two-stage query segmentation for information retrieval
– Michael Bendersky, W. Bruce Croft, David Smith
- 2009
|
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18
|
Query Reformulation Using Anchor Text
– Van Dang, W. Bruce Croft
|
|
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Large-Scale Validation and Analysis of Interleaved Search Evaluation
– Olivier Chapelle, Thorsten Joachims, Filip Radlinski Microsoft
|
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12
|
The TREC 2006 Terabyte Track
– Stefan Büttcher, Charles L. A. Clarke, Ian Soboroff
- 2006
|
|
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Finding Images of Rare and Ambiguous Entities
– Bilyana Taneva, Mouna Kacimi, Gerhard Weikum, Bilyana Taneva, Gerhard Weikum, Mouna Kacimi
- 2011
|
|
|
Finding Images of Difficult Entities in the Long Tail
– Bilyana Taneva, Mouna Kacimi, Gerhard Weikum
|
|
|
A Query Algebra for Quantum Information Retrieval
– Annalina Caputo, Benjamin Piwowarski, Mounia Lalmas
|
|
2
|
Simple Unsupervised Identification of Low-level Constituents
– Elias Ponvert, Jason Baldridge, Katrin Erk
|
|
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QUERYTEXT – USING QUERIES AND CLICKS TO IMPROVE TEXT MATCHING FOR WEB SEARCH
– Hang Cui, Srihari Reddy, Donald Metzler, Yahoo Labs, Hang Cui, Srihari Reddy, Donald Metzler, Yahoo Labs
|
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8
|
Building Enriched Document Representations using Aggregated Anchor Text
– Donald Metzler, Jasmine Novak, Hang Cui, Srihari Reddy
|
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2
|
Relevance Ranking using Kernels
– Jun Xu , Hang Li , Chaoliang Zhong
- 2009
|
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Minimal Test Collections for Relevance Feedback
– Ben Carterette, Praveen Ch, Aparna Kailasam, Lekha Thota
|
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Semi-supervised Learning to Rank with Preference Regularization
– Martin Szummer, Emine Yilmaz
|
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12
|
Of Ivory and Smurfs: Loxodontan MapReduce Experiments for Web Search
– Jimmy Lin, Donald Metzler, Tamer Elsayed, Lidan Wang
|
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1
|
On NDCG Consistency of Listwise Ranking Methods
– Pradeep Ravikumar, Ambuj Tewari, Eunho Yang
|
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1
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UMass at TREC 2010 Web Track: Term Dependence, Spam Filtering and Quality Bias
– Michael Bendersky, David Fisher, W. Bruce Croft
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