Scinet: Interactive intent modeling for information discovery

Tuukka Ruotsalo; Jaakko Peltonen; Manuel J A Eugster; Dorota Glowacka; Aki Reijonen; Giulio Jacucci; Petri Myllymäki; Samuel Kaski

doi:10.1145/2766462.2767863

Scinet: Interactive intent modeling for information discovery

Tuukka Ruotsalo, Jaakko Peltonen, Manuel J A Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

12 Citations (Scopus)

Abstract

Current search engines offer limited assistance for exploration and information discovery in complex search tasks. Instead, users are distracted by the need to focus their cognitive efforts on finding navigation cues, rather than selecting relevant information. Interactive intent modeling enhances the human information exploration capacity through computational modeling, visualized for interaction. Interactive intent modeling has been shown to increase task-level information seeking performance by up to 100%. In this demonstration, we showcase SciNet, a system implementing interactive intent modeling on top of a scientific article database of over 60 million documents.

Original language	English
Title of host publication	SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
Editors	USA Ricardo Baeza-Yates Yahoo Labs, UK Alistair Moffat University of Melbourne Mounia Lalmas Yahoo Labs, Brazil Australia Berthier Ribeiro-Neto Google, Brazil UFMG
Publisher	ACM
Pages	1043-1044
Number of pages	2
ISBN (Print)	978-1-4503-3621-5
DOIs	https://doi.org/10.1145/2766462.2767863
Publication status	Published - 2015
MoE publication type	A4 Conference publication
Event	International ACM SIGIR Conference on Research and Development in Information Retrieval - Santiago, Chile Duration: 9 Aug 2015 → 13 Aug 2015 Conference number: 38

Conference

Conference	International ACM SIGIR Conference on Research and Development in Information Retrieval
Abbreviated title	SIGIR
Country/Territory	Chile
City	Santiago
Period	09/08/2015 → 13/08/2015

Keywords

Intent modeling
Interactive information retrieval
Personalization
Visual information seeking

Access to Document

10.1145/2766462.2767863

Cite this

Ruotsalo, T., Peltonen, J., Eugster, M. J. A., Glowacka, D., Reijonen, A., Jacucci, G., Myllymäki, P., & Kaski, S. (2015). Scinet: Interactive intent modeling for information discovery. In USA. Ricardo Baeza-Yates Yahoo Labs, UK. A. M. U. O. M. Mounia Lalmas Yahoo Labs, B. Australia Berthier Ribeiro-Neto Google, & B. UFMG (Eds.), SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1043-1044). ACM. https://doi.org/10.1145/2766462.2767863

Ruotsalo, Tuukka ; Peltonen, Jaakko ; Eugster, Manuel J A et al. / Scinet: Interactive intent modeling for information discovery. SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. editor / USA Ricardo Baeza-Yates Yahoo Labs ; UK Alistair Moffat University of Melbourne Mounia Lalmas Yahoo Labs ; Brazil Australia Berthier Ribeiro-Neto Google ; Brazil UFMG. ACM, 2015. pp. 1043-1044

@inproceedings{f35c81e7dfc84c28aa2d2e99eef154fc,

title = "Scinet: Interactive intent modeling for information discovery",

abstract = "Current search engines offer limited assistance for exploration and information discovery in complex search tasks. Instead, users are distracted by the need to focus their cognitive efforts on finding navigation cues, rather than selecting relevant information. Interactive intent modeling enhances the human information exploration capacity through computational modeling, visualized for interaction. Interactive intent modeling has been shown to increase task-level information seeking performance by up to 100%. In this demonstration, we showcase SciNet, a system implementing interactive intent modeling on top of a scientific article database of over 60 million documents.",

keywords = "Intent modeling, Interactive information retrieval, Personalization, Visual information seeking",

author = "Tuukka Ruotsalo and Jaakko Peltonen and Eugster, {Manuel J A} and Dorota Glowacka and Aki Reijonen and Giulio Jacucci and Petri Myllym{\"a}ki and Samuel Kaski",

note = "VK: Kaski, S.; HIIT; International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ; Conference date: 09-08-2015 Through 13-08-2015",

year = "2015",

doi = "10.1145/2766462.2767863",

language = "English",

isbn = "978-1-4503-3621-5",

pages = "1043--1044",

editor = "{Ricardo Baeza-Yates Yahoo Labs}, USA and {Mounia Lalmas Yahoo Labs}, {UK Alistair Moffat University of Melbourne} and {Australia Berthier Ribeiro-Neto Google}, Brazil and Brazil UFMG",

booktitle = "SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval",

publisher = "ACM",

address = "United States",

}

Ruotsalo, T, Peltonen, J, Eugster, MJA, Glowacka, D, Reijonen, A, Jacucci, G , Myllymäki, P & Kaski, S 2015, Scinet: Interactive intent modeling for information discovery. in USA Ricardo Baeza-Yates Yahoo Labs, UKAMUOM Mounia Lalmas Yahoo Labs, B Australia Berthier Ribeiro-Neto Google & B UFMG (eds), SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, pp. 1043-1044, International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, 09/08/2015. https://doi.org/10.1145/2766462.2767863

Scinet: Interactive intent modeling for information discovery. / Ruotsalo, Tuukka; Peltonen, Jaakko; Eugster, Manuel J A et al.
SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. ed. / USA Ricardo Baeza-Yates Yahoo Labs; UK Alistair Moffat University of Melbourne Mounia Lalmas Yahoo Labs; Brazil Australia Berthier Ribeiro-Neto Google; Brazil UFMG. ACM, 2015. p. 1043-1044.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Scinet: Interactive intent modeling for information discovery

AU - Ruotsalo, Tuukka

AU - Peltonen, Jaakko

AU - Eugster, Manuel J A

AU - Glowacka, Dorota

AU - Reijonen, Aki

AU - Jacucci, Giulio

AU - Myllymäki, Petri

AU - Kaski, Samuel

N1 - Conference code: 38

PY - 2015

Y1 - 2015

N2 - Current search engines offer limited assistance for exploration and information discovery in complex search tasks. Instead, users are distracted by the need to focus their cognitive efforts on finding navigation cues, rather than selecting relevant information. Interactive intent modeling enhances the human information exploration capacity through computational modeling, visualized for interaction. Interactive intent modeling has been shown to increase task-level information seeking performance by up to 100%. In this demonstration, we showcase SciNet, a system implementing interactive intent modeling on top of a scientific article database of over 60 million documents.

AB - Current search engines offer limited assistance for exploration and information discovery in complex search tasks. Instead, users are distracted by the need to focus their cognitive efforts on finding navigation cues, rather than selecting relevant information. Interactive intent modeling enhances the human information exploration capacity through computational modeling, visualized for interaction. Interactive intent modeling has been shown to increase task-level information seeking performance by up to 100%. In this demonstration, we showcase SciNet, a system implementing interactive intent modeling on top of a scientific article database of over 60 million documents.

KW - Intent modeling

KW - Interactive information retrieval

KW - Personalization

KW - Visual information seeking

UR - http://www.scopus.com/inward/record.url?scp=84953776151&partnerID=8YFLogxK

U2 - 10.1145/2766462.2767863

DO - 10.1145/2766462.2767863

M3 - Conference article in proceedings

SN - 978-1-4503-3621-5

SP - 1043

EP - 1044

BT - SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval

A2 - Ricardo Baeza-Yates Yahoo Labs, USA

A2 - Mounia Lalmas Yahoo Labs, UK Alistair Moffat University of Melbourne

A2 - Australia Berthier Ribeiro-Neto Google, Brazil

A2 - UFMG, Brazil

PB - ACM

T2 - International ACM SIGIR Conference on Research and Development in Information Retrieval

Y2 - 9 August 2015 through 13 August 2015

ER -

Ruotsalo T, Peltonen J, Eugster MJA, Glowacka D, Reijonen A, Jacucci G et al. Scinet: Interactive intent modeling for information discovery. In Ricardo Baeza-Yates Yahoo Labs USA, Mounia Lalmas Yahoo Labs UKAMUOM, Australia Berthier Ribeiro-Neto Google B, UFMG B, editors, SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM. 2015. p. 1043-1044 doi: 10.1145/2766462.2767863

Scinet: Interactive intent modeling for information discovery

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this