Using emotion to diversify document rankings

Yashar Moshfeghi, Guido Zuccon, Joemon M. Jose

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

The aim of this paper is to investigate the role of emotion features in diversifying document rankings to improve the effectiveness of Information Retrieval (IR) systems. For this purpose, two approaches are proposed to consider emotion features for diversification, and they are empirically tested on the TREC 678 Interactive Track collection. The results show that emotion features are capable of enhancing retrieval effectiveness.
LanguageEnglish
Title of host publicationAdvances in Information Retrieval Theory
Subtitle of host publicationThird International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings
EditorsGiambattista Amati, Fabio Crestani
Place of PublicationBerlin
PublisherSpringer
Pages337-341
Number of pages5
ISBN (Print)9783642233173, 9783642233180
DOIs
Publication statusPublished - 1 Sep 2011
EventThird International Conference on the Theory of Information Retrieval - Bertinoro, Italy
Duration: 12 Sep 201114 Sep 2011

Conference

ConferenceThird International Conference on the Theory of Information Retrieval
Abbreviated titleICTIR 2011
CountryItaly
CityBertinoro
Period12/09/1114/09/11

Fingerprint

Information retrieval systems

Keywords

  • emotion
  • information retrieval systems
  • diversification
  • retrieval effectiveness

Cite this

Moshfeghi, Y., Zuccon, G., & Jose, J. M. (2011). Using emotion to diversify document rankings. In G. Amati, & F. Crestani (Eds.), Advances in Information Retrieval Theory: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings (pp. 337-341). Berlin: Springer. https://doi.org/10.1007/978-3-642-23318-0_34
Moshfeghi, Yashar ; Zuccon, Guido ; Jose, Joemon M. / Using emotion to diversify document rankings. Advances in Information Retrieval Theory: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings. editor / Giambattista Amati ; Fabio Crestani. Berlin : Springer, 2011. pp. 337-341
@inproceedings{a06ce04e0c4f41ff9a7b50e10b6a4e16,
title = "Using emotion to diversify document rankings",
abstract = "The aim of this paper is to investigate the role of emotion features in diversifying document rankings to improve the effectiveness of Information Retrieval (IR) systems. For this purpose, two approaches are proposed to consider emotion features for diversification, and they are empirically tested on the TREC 678 Interactive Track collection. The results show that emotion features are capable of enhancing retrieval effectiveness.",
keywords = "emotion, information retrieval systems, diversification, retrieval effectiveness",
author = "Yashar Moshfeghi and Guido Zuccon and Jose, {Joemon M.}",
year = "2011",
month = "9",
day = "1",
doi = "10.1007/978-3-642-23318-0_34",
language = "English",
isbn = "9783642233173",
pages = "337--341",
editor = "Giambattista Amati and Fabio Crestani",
booktitle = "Advances in Information Retrieval Theory",
publisher = "Springer",

}

Moshfeghi, Y, Zuccon, G & Jose, JM 2011, Using emotion to diversify document rankings. in G Amati & F Crestani (eds), Advances in Information Retrieval Theory: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings. Springer, Berlin, pp. 337-341, Third International Conference on the Theory of Information Retrieval, Bertinoro, Italy, 12/09/11. https://doi.org/10.1007/978-3-642-23318-0_34

Using emotion to diversify document rankings. / Moshfeghi, Yashar; Zuccon, Guido; Jose, Joemon M.

Advances in Information Retrieval Theory: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings. ed. / Giambattista Amati; Fabio Crestani. Berlin : Springer, 2011. p. 337-341.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Using emotion to diversify document rankings

AU - Moshfeghi, Yashar

AU - Zuccon, Guido

AU - Jose, Joemon M.

PY - 2011/9/1

Y1 - 2011/9/1

N2 - The aim of this paper is to investigate the role of emotion features in diversifying document rankings to improve the effectiveness of Information Retrieval (IR) systems. For this purpose, two approaches are proposed to consider emotion features for diversification, and they are empirically tested on the TREC 678 Interactive Track collection. The results show that emotion features are capable of enhancing retrieval effectiveness.

AB - The aim of this paper is to investigate the role of emotion features in diversifying document rankings to improve the effectiveness of Information Retrieval (IR) systems. For this purpose, two approaches are proposed to consider emotion features for diversification, and they are empirically tested on the TREC 678 Interactive Track collection. The results show that emotion features are capable of enhancing retrieval effectiveness.

KW - emotion

KW - information retrieval systems

KW - diversification

KW - retrieval effectiveness

U2 - 10.1007/978-3-642-23318-0_34

DO - 10.1007/978-3-642-23318-0_34

M3 - Conference contribution book

SN - 9783642233173

SN - 9783642233180

SP - 337

EP - 341

BT - Advances in Information Retrieval Theory

A2 - Amati, Giambattista

A2 - Crestani, Fabio

PB - Springer

CY - Berlin

ER -

Moshfeghi Y, Zuccon G, Jose JM. Using emotion to diversify document rankings. In Amati G, Crestani F, editors, Advances in Information Retrieval Theory: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings. Berlin: Springer. 2011. p. 337-341 https://doi.org/10.1007/978-3-642-23318-0_34