Information Retrieval Journal (2013)
Content
- 2013 Volume 16 Issue 6 5 papers
- 2013 Volume 16 Issue 5 3 papers
- 2013 Volume 16 Issue 4 6 papers
- 2013 Volume 16 Issue 3 4 papers
- 2013 Volume 16 Issue 2 7 papers
- 2013 Volume 16 Issue 1 3 papers
2013 Volume 16 Issue 6
A query scrambler for search privacy on the internet
Avi Arampatzis
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Pavlos S. Efraimidis
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George Drosatos
Using rating matrix compression techniques to speed up collaborative recommendations
Vreixo Formoso
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Diego Fernández
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Fidel Cacheda
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Victor Carneiro
Bridging memory-based collaborative filtering and text retrieval
Alejandro Bellogín
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Jun Wang
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Pablo Castells
When do people use query suggestion? A query suggestion log analysis
Makoto P. Kato
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Tetsuya Sakai
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Katsumi Tanaka
Document vector representations for feature extraction in multi-stage document ranking
Nima Asadi
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Jimmy Lin
2013 Volume 16 Issue 5
The uncertain representation ranking framework for concept-based video retrieval
Robin Aly
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Aiden R. Doherty
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Djoerd Hiemstra
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Franciska de Jong
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Alan F. Smeaton
The whens and hows of learning to rank for web search
Craig Macdonald
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Rodrygo L. T. Santos
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Iadh Ounis
Cross-lingual training of summarization systems using annotated corpora in a foreign language
Marina Litvak
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Mark Last
2013 Volume 16 Issue 4
Introduction to the special issue on search intents and diversification
Tetsuya Sakai
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Noriko Kando
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Craig Macdonald
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Ian Soboroff
Learning to rank query suggestions for adhoc and diversity search
Rodrygo L. T. Santos
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Craig Macdonald
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Iadh Ounis
Mining subtopics from different aspects for diversifying search results
Chieh-Jen Wang
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Yung-Wei Lin
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Ming-Feng Tsai
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Hsin-Hsi Chen
Mining subtopics from text fragments for a web query
Qinglei Wang
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Ya-nan Qian
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Ruihua Song
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Zhicheng Dou
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Fan Zhang
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Tetsuya Sakai
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Qinghua Zheng
Diversified search evaluation: lessons from the NTCIR-9 INTENT task
Tetsuya Sakai
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Ruihua Song
Increasing evaluation sensitivity to diversity
Peter B. Golbus
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Javed A. Aslam
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Charles L. A. Clarke
2013 Volume 16 Issue 3
A learning approach to optimizing exploration-exploitation tradeoff in relevance feedback
Maryam Karimzadehgan
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ChengXiang Zhai
Cross-language information retrieval models based on latent topic models trained with document-aligned comparable corpora
Ivan Vulic
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Wim De Smet
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Marie-Francine Moens
Forecasting user visits for online display advertising
Suleyman Cetintas
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Datong Chen
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Luo Si
A novel neighborhood based document smoothing model for information retrieval
Pawan Goyal
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Laxmidhar Behera
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T. Martin McGinnity
2013 Volume 16 Issue 2
Crowdsourcing for information retrieval: introduction to the special issue
Matthew Lease
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Emine Yilmaz
Implementing crowdsourcing-based relevance experimentation: an industrial perspective
Omar Alonso
Increasing cheat robustness of crowdsourcing tasks
Carsten Eickhoff
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Arjen P. de Vries
An analysis of human factors and label accuracy in crowdsourcing relevance judgments
Gabriella Kazai
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Jaap Kamps
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Natasa Milic-Frayling
Identifying top news using crowdsourcing
Richard McCreadie
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Craig Macdonald
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Iadh Ounis
Crowdsourcing and the crisis-affected community - Lessons learned and looking forward from Mission 4636
Robert Munro
Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems
Guido Zuccon
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Teerapong Leelanupab
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Stewart Whiting
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Emine Yilmaz
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Joemon M. Jose
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Leif Azzopardi
2013 Volume 16 Issue 1
Leveraging comparable corpora for cross-lingual information retrieval in resource-lean language pairs
Azadeh Shakery
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ChengXiang Zhai
Modeling locations with social media
Neil O'Hare
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Vanessa Murdock
Balancing exploration and exploitation in listwise and pairwise online learning to rank for information retrieval
Katja Hofmann
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Shimon Whiteson
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Maarten de Rijke