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ORCIDInformation Retrieval, Volume 16
Volume 16, Number 1, February 2013
- Azadeh Shakery, ChengXiang Zhai:
Leveraging comparable corpora for cross-lingual information retrieval in resource-lean language pairs. 1-29 - Neil O'Hare, Vanessa Murdock:
Modeling locations with social media. 30-62 - Katja Hofmann, Shimon Whiteson, Maarten de Rijke
:
Balancing exploration and exploitation in listwise and pairwise online learning to rank for information retrieval. 63-90
Volume 16, Number 2, April 2013
- Matthew Lease, Emine Yilmaz:
Crowdsourcing for information retrieval: introduction to the special issue. 91-100 - Omar Alonso:
Implementing crowdsourcing-based relevance experimentation: an industrial perspective. 101-120 - Carsten Eickhoff, Arjen P. de Vries:
Increasing cheat robustness of crowdsourcing tasks. 121-137 - Gabriella Kazai, Jaap Kamps, Natasa Milic-Frayling:
An analysis of human factors and label accuracy in crowdsourcing relevance judgments. 138-178 - Richard McCreadie, Craig Macdonald, Iadh Ounis:
Identifying top news using crowdsourcing. 179-209 - Robert Munro:
Crowdsourcing and the crisis-affected community - Lessons learned and looking forward from Mission 4636. 210-266 - Guido Zuccon, Teerapong Leelanupab, Stewart Whiting, Emine Yilmaz, Joemon M. Jose, Leif Azzopardi:
Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems. 267-305
Volume 16, Number 3, June 2013
- Maryam Karimzadehgan, ChengXiang Zhai:
A learning approach to optimizing exploration-exploitation tradeoff in relevance feedback. 307-330 - Ivan Vulic, Wim De Smet, Marie-Francine Moens:
Cross-language information retrieval models based on latent topic models trained with document-aligned comparable corpora. 331-368 - Suleyman Cetintas, Datong Chen, Luo Si:
Forecasting user visits for online display advertising. 369-390 - Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity:
A novel neighborhood based document smoothing model for information retrieval. 391-425
Volume 16, Number 4, August 2013
- Tetsuya Sakai, Noriko Kando, Craig Macdonald, Ian Soboroff:
Introduction to the special issue on search intents and diversification. 427-428 - Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Learning to rank query suggestions for adhoc and diversity search. 429-451 - Chieh-Jen Wang, Yung-Wei Lin, Ming-Feng Tsai, Hsin-Hsi Chen:
Mining subtopics from different aspects for diversifying search results. 452-483 - Qinglei Wang, Ya-nan Qian, Ruihua Song, Zhicheng Dou, Fan Zhang, Tetsuya Sakai, Qinghua Zheng:
Mining subtopics from text fragments for a web query. 484-503 - Tetsuya Sakai, Ruihua Song:
Diversified search evaluation: lessons from the NTCIR-9 INTENT task. 504-529 - Peter B. Golbus, Javed A. Aslam, Charles L. A. Clarke:
Increasing evaluation sensitivity to diversity. 530-555
Volume 16, Number 5, October 2013
- Robin Aly, Aiden R. Doherty, Djoerd Hiemstra, Franciska de Jong, Alan F. Smeaton:
The uncertain representation ranking framework for concept-based video retrieval. 557-583 - Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis:
The whens and hows of learning to rank for web search. 584-628 - Marina Litvak, Mark Last:
Cross-lingual training of summarization systems using annotated corpora in a foreign language. 629-656
Volume 16, Number 6, December 2013
- Avi Arampatzis, Pavlos S. Efraimidis, George Drosatos:
A query scrambler for search privacy on the internet. 657-679 - Vreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro:
Using rating matrix compression techniques to speed up collaborative recommendations. 680-696 - Alejandro Bellogín, Jun Wang, Pablo Castells:
Bridging memory-based collaborative filtering and text retrieval. 697-724 - Makoto P. Kato, Tetsuya Sakai, Katsumi Tanaka:
When do people use query suggestion? A query suggestion log analysis. 725-746 - Nima Asadi, Jimmy Lin:
Document vector representations for feature extraction in multi-stage document ranking. 747-768
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