Djoerd Hiemstra

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Franciska de JongUniversiteit Utrecht/Erasmus Universiteit/Universiteit UtrechtVerified email at utwente.nl
Arjen P. de VriesRadboud UniversiteitVerified email at cs.ru.nl
Wessel KraaijProfessor of Computer Science Leiden University; principal scientist TNO; ACM distinguished memberVerified email at liacs.leidenuniv.nl
Dolf TrieschniggNedap Healthcare / University of TwenteVerified email at ewi.utwente.nl
Claudia HauffAssociate Professor, Delft University of Technology (NL)Verified email at tudelft.nl
Vojkan MihajlovicSenior Researcher, Holst Centre / imec The NetherlandsVerified email at imec-nl.nl
Robin AlyUniversity of TwenteVerified email at ewi.utwente.nl
Dong NguyenUtrecht UniversityVerified email at cs.cmu.edu
Peter M.G. Apersem. professor of Computer Science, University of TwenteVerified email at utwente.nl
Thomas DemeesterAssistant professor, Ghent UniversityVerified email at ugent.be
GEORGINA RAMIREZ CAMPSUniversitat Pompeu FabraVerified email at upf.edu
Sergio Duarte TorresPhD Candidate, University of TwenteVerified email at cs.utwente.nl
Jaap KampsUniversity of AmsterdamVerified email at uva.nl
Maurice van KeulenAssociate Professor of Data Management Technology, University of TwenteVerified email at utwente.nl
Tijs van den BroekAssistant Professor @ VU AmsterdamVerified email at vu.nl
Ariana NeedSociologie, Universiteit TwenteVerified email at utwente.nl
Michel EhrenhardUniversiteit TwenteVerified email at utwente.nl
Roeland OrdelmanResearcher Multimedia Retrieval, University of TwenteVerified email at beeldengeluid.nl
Mohammadreza khelghatiUniversity of TwenteVerified email at utwente.nl
Ingmar WeberQatar Computing Research InstituteVerified email at acm.org

Djoerd Hiemstra

Radboud University

Verified email at cs.ru.nl - Homepage

Information Retrieval


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Using language models for information retrieval D Hiemstra Ph.D. thesis, University of Twente, 2001	607	2001
The importance of prior probabilities for entry page search W Kraaij, T Westerveld, D Hiemstra Proceedings of the 25th annual international ACM SIGIR conference on …, 2002	334	2002
Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, university of massachusetts amherst … J Allan, J Aslam, N Belkin, C Buckley, J Callan, B Croft, S Dumais, N Fuhr, ... ACM SIGIR Forum 37 (1), 31-47, 2003	320	2003
A linguistically motivated probabilistic model of information retrieval D Hiemstra International Conference on Theory and Practice of Digital Libraries, 569-584, 1998	265	1998
A probabilistic justification for using tf× idf term weighting in information retrieval D Hiemstra International Journal on Digital Libraries 3 (2), 131-139, 2000	239	2000
Twenty-One at TREC-7: Ad-hoc and cross-language track D Hiemstra, W Kraaij Gaithersburg: National Institute of Standards and Technology, 1999	221	1999
Retrieving web pages using content, links, urls and anchors T Westerveid, D Hiemstra, W Kraaij Gaithersburg: National Institute of Standards and Technology, 2002	213	2002
Parsimonious language models for information retrieval D Hiemstra, S Robertson, H Zaragoza Proceedings of the 27th annual international ACM SIGIR conference on …, 2004	149	2004
Modeling multi-step relevance propagation for expert finding P Serdyukov, H Rode, D Hiemstra Proceedings of the 17th ACM conference on Information and knowledge …, 2008	144	2008
A survey of pre-retrieval query performance predictors C Hauff, D Hiemstra, F de Jong Proceedings of the 17th ACM conference on Information and knowledge …, 2008	134	2008
Term-specific smoothing for the language modeling approach to information retrieval: the importance of a query term D Hiemstra Proceedings of the 25th annual international ACM SIGIR conference on …, 2002	116	2002
Information Retrieval Models. D Hiemstra Information Retrieval, 1-19, 2009	105	2009
Modeling documents as mixtures of persons for expert finding P Serdyukov, D Hiemstra European Conference on Information Retrieval, 309-320, 2008	103	2008
Temporal language models for the disclosure of historical text FM Jong, H Rode, D Hiemstra Amsterdam: Koninklijke Nederlandse Academie van Wetenschappen, 2005	95	2005
Relating the new language models of information retrieval to the traditional retrieval models D Hiemstra, AP De Vries Enschede: Centre for Telematics and Information Technology, University of Twente, 2000	88	2000
Bayesian extension to the language model for ad hoc information retrieval H Zaragoza, D Hiemstra, M Tipping Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	83	2003
Disambiguation strategies for cross-language information retrieval D Hiemstra, F De Jong International Conference on Theory and Practice of Digital Libraries, 274-293, 1999	79	1999
A cross-benchmark comparison of 87 learning to rank methods N Tax, S Bockting, D Hiemstra Information processing & management 51 (6), 757-772, 2015	75	2015
A probabilistic multimedia retrieval model and its evaluation T Westerveld, AP De Vries, A van Ballegooij, F de Jong, D Hiemstra EURASIP Journal on Advances in Signal Processing 2003 (2), 1-13, 2003	75	2003
Analysis of search and browsing behavior of young users on the web S Duarte Torres, I Weber, D Hiemstra ACM Transactions on the Web (TWEB) 8 (2), 1-54, 2014	74	2014

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