Výsledky vyhledávání - "de Vries, A.P."

Querylog-based assessment of retrievability bias in a large newspaper corpus

Autor: Traub, M. C., Samar, T., van Ossenbruggen, J. R., He, J., de Vries, A.P., Hardman, L., Adam, N. R., Cassel, B., Yesha, Y., Sub Multimedia, Multimedia

Publikováno v: Traub, M C, Samar, T, Van Ossenbruggen, J, He, J, de Vries, A & Hardman, L 2016, Querylog-based assessment of retrievability bias in a large newspaper corpus . in JCDL 2016-Proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries . vol. 2016-September, 7559558, Institute of Electrical and Electronics Engineers, Inc., pp. 7-16, 16th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2016, Newark, United States, 19/06/16 . https://doi.org/10.1145/2910896.2910907
Adam, N.R. (ed.), JCDL '16 : Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries : Big Libraries, Big Data, Big Innovation, Rutgers University, Newark, NJ, USA, June 19-23, 2016, 7-16. New York : ACM
STARTPAGE=7;ENDPAGE=16;TITLE=Adam, N.R. (ed.), JCDL '16 : Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries : Big Libraries, Big Data, Big Innovation, Rutgers University, Newark, NJ, USA, June 19-23, 2016
JCDL 2016-Proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries, 2016-September, 7-16
JCDL
Adam, N.R. (ed.), JCDL '16 : Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries : Big Libraries, Big Data, Big Innovation, Rutgers University, Newark, NJ, USA, June 19-23, 2016, pp. 7-16
Proceedings of the IEEE/ACM Joint Conference on Digital Libraries (JCDL, 2016), 7
STARTPAGE=7;TITLE=Proceedings of the IEEE/ACM Joint Conference on Digital Libraries (JCDL, 2016)

Bias in the retrieval of documents can directly influence the information access of a digital library. In the worst case, systematic favoritism for a certain type of document can render other parts of the collection invisible to users. This potential

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65a3b86d21fe1d17cd12609b126d54f5
https://hdl.handle.net/1871.1/cf70d5aa-c8c8-40e5-8435-85c6ff9f76c7

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Learning to rank from relevance feedback for e-discovery

Autor: Lubell-Doughtie, P., Hofmann, K., Baeza-Yates, R., de Vries, A.P., Zaragoza, H., Cambazoglu, B.B., Murdock, V., Lempel, R., Silvestri, F.

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642289965
ECIR
Advances in Information Retrieval: 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012: proceedings, 535-539
STARTPAGE=535;ENDPAGE=539;TITLE=Advances in Information Retrieval

In recall-oriented search tasks retrieval systems are privy to a greater amount of user feedback. In this paper we present a novel method of combining relevance feedback with learning to rank. Our experiments use data from the 2010 TREC Legal track t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1ba03cc52eafc244bad61310f0c7053
https://doi.org/10.1007/978-3-642-28997-2_58

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Conference

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A Probabilistic Multimedia Retrieval Model and Its Evaluation

Autor: Sayed, A.H., Westerveld, T.H.W., de Vries, A.P., de Vries, A.J., van Ballegooij, A., de Jong, Franciska M.G., Hiemstra, Djoerd

Publikováno v: EURASIP Journal on Advances in Signal Processing, Vol 2003, Iss 2, Pp 186-198 (2003)
EURASIP Journal on Advances in Signal Processing, Vol 2003, Iss 2, p 985676 (2003)
EURASIP journal on applied signal processing, 2(2):10.1155/S111086570321101X, 186-198. Hindawi Publishing Corporation
EURASIP Journal on Applied Signal Processing, 2, 186-198

We present a probabilistic model for the retrieval of multimodal documents. The model is based on Bayesian decision theory and combines models for text-based search with models for visual search. The textual model is based on the language modelling a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3aac7d85dcdef65ab93a6b7f00d76df
https://doaj.org/article/df601a1a636e4daa8e97c5e6df6bc500

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The Multi-model DBMS Architecture and XML Information Retrieval

Autor: de Vries, A.P., List, J.A., Blok, H.E., Blanken, Henk, Grabs, T., Schek, H-J., Schenkel, R., Weikum, G.

Publikováno v: Lecture Notes in Computer Science ISBN: 9783540407683
Intelligent Search on XML Data
Intelligent Search on XML Data: Applications, Languages, Models, Implementations, and Benchmarks, 179-191
STARTPAGE=179;ENDPAGE=191;TITLE=Intelligent Search on XML Data: Applications, Languages, Models, Implementations, and Benchmarks

Since long, computer science has distinguished between information retrieval and data retrieval, where information retrieval entails the problem of ranking textual documents on their content (with the goal to identify documents relevant for satisfyin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f85c4060a8939ddff50557296080b71b
https://doi.org/10.1007/978-3-540-45194-5_12

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Query-dependent contextualization of streaming data

Autor: Voskarides, N., Odijk, D., Tsagkias, M., Weerkamp, W., de Rijke, M., Kenter, T., de Vries, A.P., Zhai, C.X., de Jong, F., Radinsky, K., Hofmann, K.

Publikováno v: Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014: proceedings, 706-712
STARTPAGE=706;ENDPAGE=712;TITLE=Advances in Information Retrieval
Lecture Notes in Computer Science ISBN: 9783319060279
ECIR

We propose a method for linking entities in a stream of short textual documents that takes into account context both inside a document and inside the history of documents seen so far. Our method uses a generic optimization frame- work for combining s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d98ac42a7d2dd838a19244031d4e8b11
https://dare.uva.nl/personal/pure/en/publications/querydependent-contextualization-of-streaming-data(82702064-3627-4c39-bff6-ac347dfd8d84).html

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