Follow
Djoerd Hiemstra
Djoerd Hiemstra
Verified email at cs.ru.nl - Homepage
Title
Cited by
Cited by
Year
Using language models for information retrieval
D Hiemstra
Ph.D. thesis, University of Twente, 2001
6482001
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
3512002
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
3382003
A probabilistic justification for using tf× idf term weighting in information retrieval
D Hiemstra
International Journal on Digital Libraries 3, 131-139, 2000
2892000
A linguistically motivated probabilistic model of information retrieval
D Hiemstra
Research and Advanced Technology for Digital Libraries: Second European …, 1998
2831998
Retrieving web pages using content, links, urls and anchors
THW Westerveld, W Kraaij, D Hiemstra
Tenth Text REtrieval Conference, TREC-10 2001, 663-672, 2002
2252002
Twenty-One at TREC-7: Ad-hoc and cross-language track
D Hiemstra, W Kraaij
Seventh Text REtrieval Conference, TREC-7 1998, 227-238, 1999
2241999
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
1832008
Parsimonious language models for information retrieval
D Hiemstra, S Robertson, H Zaragoza
Proceedings of the 27th annual international ACM SIGIR conference on …, 2004
1672004
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
1562008
Information retrieval models
D Hiemstra
Information Retrieval: searching in the 21st Century, 1-19, 2009
1402009
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
1242002
A cross-benchmark comparison of 87 learning to rank methods
N Tax, S Bockting, D Hiemstra
Information processing & management 51 (6), 757-772, 2015
1152015
Temporal language models for the disclosure of historical text
FM Jong, H Rode, D Hiemstra
Amsterdam: Koninklijke Nederlandse Academie van Wetenschappen, 2005
1132005
Modeling documents as mixtures of persons for expert finding
P Serdyukov, D Hiemstra
European conference on information retrieval, 309-320, 2008
1062008
The recent applications of machine learning in rail track maintenance: A survey
M Chenariyan Nakhaee, D Hiemstra, M Stoelinga, M van Noort
Reliability, Safety, and Security of Railway Systems. Modelling, Analysis …, 2019
992019
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
972000
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
932014
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
882003
The combination and evaluation of query performance prediction methods
C Hauff, L Azzopardi, D Hiemstra
European Conference on Information Retrieval, 301-312, 2009
842009
The system can't perform the operation now. Try again later.
Articles 1–20