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Application of semantic annotations to predicting users' demographics

Authors:

Blaž Fortuna,

Dunja Mladenić,

Marko GrobelnikAuthors Info & Claims

ESAIR '10: Proceedings of the third workshop on Exploiting semantic annotations in information retrieval

Pages 23 - 24

https://doi.org/10.1145/1871962.1871977

Published: 30 October 2010 Publication History

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Abstract

This paper presents an experimental study on predicting demographics for the users of a large news publishing web site. Each user is described by the articles he/she has read. The study looks at the effect of features used for article representations, such as text, automatic annotations and manually annotations on the prediction performance. It is show how different demographic dimensions depend on different combination of automatic and / or manual annotations.

References

[1]

Salton, G. Developments in Automatic Text Retrieval. Science, Vol 253, 974--979

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[2]

Štajner, T., Rusu, D., Dali, L., Fortuna, B., Mladenić, D., Grobelnik, M. Enrycher: service oriented text enrichment. SiKDD 2009, at the Information Society Multiconference, Ljubljana, 2009

Google Scholar

[3]

Cristianini, N., Shawe-Taylor, J. An introduction to support vector machines. Cambridge University Press

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Google Scholar

[4]

Fortuna, B., Fortuna, C., Mladenić, D., Real-time News Recommender System. Demo paper, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2010.

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Cited By

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Hill SBenton APanniello U(2019)Talkographics: Measuring TV and Brand Audience Demographics and Interests from User-Generated ContentInternational Journal of Electronic Commerce10.1080/10864415.2019.161990823:3(364-404)Online publication date: 14-Jul-2019
https://doi.org/10.1080/10864415.2019.1619908
Kamps JKarlgren JSchenkel R(2011)Report on the third workshop on exploiting semantic annotations in information retrieval (ESAIR)ACM SIGIR Forum10.1145/1988852.198885845:1(33-41)Online publication date: 24-May-2011
https://dl.acm.org/doi/10.1145/1988852.1988858
Kamps JKarlgren JSchenkel RHuang JKoudas NJones GWu XCollins-Thompson KAn A(2010)Third workshop on exploiting semantic annotations in information retrieval (ESAIR)Proceedings of the 19th ACM international conference on Information and knowledge management10.1145/1871437.1871793(1975-1976)Online publication date: 26-Oct-2010
https://dl.acm.org/doi/10.1145/1871437.1871793

Index Terms

Application of semantic annotations to predicting users' demographics
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Published In

ESAIR '10: Proceedings of the third workshop on Exploiting semantic annotations in information retrieval

October 2010

46 pages

ISBN:9781450303729

DOI:10.1145/1871962

Program Chairs:
Jaap Kamps
University of Amsterdam, Netherlands
,
Jussi Karlgren
Swedish Institute of Computer Science, Sweden
,
Ralf Schenkel
MPI/Saarland University, Germany

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 October 2010

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web mining

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CIKM '10

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CIKM '10: International Conference on Information and Knowledge Management

October 30, 2010

ON, Toronto, Canada

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Overall Acceptance Rate 35 of 55 submissions, 64%

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Hill SBenton APanniello U(2019)Talkographics: Measuring TV and Brand Audience Demographics and Interests from User-Generated ContentInternational Journal of Electronic Commerce10.1080/10864415.2019.161990823:3(364-404)Online publication date: 14-Jul-2019
https://doi.org/10.1080/10864415.2019.1619908
Kamps JKarlgren JSchenkel R(2011)Report on the third workshop on exploiting semantic annotations in information retrieval (ESAIR)ACM SIGIR Forum10.1145/1988852.198885845:1(33-41)Online publication date: 24-May-2011
https://dl.acm.org/doi/10.1145/1988852.1988858
Kamps JKarlgren JSchenkel RHuang JKoudas NJones GWu XCollins-Thompson KAn A(2010)Third workshop on exploiting semantic annotations in information retrieval (ESAIR)Proceedings of the 19th ACM international conference on Information and knowledge management10.1145/1871437.1871793(1975-1976)Online publication date: 26-Oct-2010
https://dl.acm.org/doi/10.1145/1871437.1871793

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Manual semantic annotations: User evaluation of interface and interaction designs

AUTOMATIC ANNOTATION OF AMBIGUOUS PERSONAL NAMES ON THE WEB

A French clinical corpus with comprehensive semantic annotations: development of the Medical Entity and Relation LIMSI annOtated Text corpus (MERLOT)

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