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Cited by 57

The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.

Interactive Intent Modeling for Exploratory Search

Ruotsalo, Tuukka, Peltonen, Jaakko, Eugster, Manuel J. A., Głowacka, Dorota, Floréen, Patrik, Myllymäki, Petri, Jacucci, Giulio, Kaski, Samuel·2018·ACM Transactions on Information Systems
DOI 10.1145/3231593
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Abstract

Exploratory search requires the system to assist the user in comprehending the information space and expressing evolving search intents for iterative exploration and retrieval of information. We introduce interactive intent modeling, a technique that models a user’s evolving search intents and visualizes them as keywords for interaction. The user can provide feedback on the keywords, from which the system learns and visualizes an improved intent estimate and retrieves information. We report experiments comparing variants of a system implementing interactive intent modeling to a control system. Data comprising search logs, interaction logs, essay answers, and questionnaires indicate significant improvements in task performance, information retrieval performance over the session, information comprehension performance, and user experience. The improvements in retrieval effectiveness can be attributed to the intent modeling and the effect on users’ task performance, breadth of information comprehension, and user experience are shown to be dependent on a richer visualization. Our results demonstrate the utility of combining interactive modeling of search intentions with interactive visualization of the models that can benefit both directing the exploratory search process and making sense of the information space. Our findings can help design personalized systems that support exploratory information seeking and discovery of novel information.

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Cites

Research works printed but not linked: 10

  1. Omar Alonso , Ricardo Baeza-Yates , and Michael Gertz . 2007 . Exploratory search using timelines . In Proceedings of the ACM SIGCHI 2007 Workshop on Exploratory Search and HCI. ACM , New York, NY, 23--26. Omar Alonso, Ricardo Baeza-Yates, and Michael Gertz. 2007. Exploratory search using timelines. In Proceedings of the ACM SIGCHI 2007 Workshop on Exploratory Search and HCI. ACM, New York, NY, 23--26.
  2. 10.1002/(SICI)1097-4571(198611)37:6<357::AID-ASI1>3.0.CO;2-H · DOI
  3. N. J. Belkin . 1980 . Anomalous states of knowledge as a basis for information retrieval . Can. J. Info. Sci. 5 (1980), 133 -- 143 . N. J. Belkin. 1980. Anomalous states of knowledge as a basis for information retrieval. Can. J. Info. Sci. 5 (1980), 133--143.
  4. 10.1145/1772690.1772714 · DOI
  5. 10.5555/580582.857725 · doi:10.5555/580582.857725
  6. 10.1037/0033-295X.106.4.643 · DOI · Paper page
  7. 10.5555/3017447.3017495 · doi:10.5555/3017447.3017495
  8. 10.5555/2655780.2655819 · doi:10.5555/2655780.2655819
  9. 10.1145/1466620.1466622 · DOI
  10. 10.1145/2449396.2449442 · DOI

Cited by

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Metadata

Authors
Ruotsalo, T., Peltonen, J., Eugster, M. J. A., Głowacka, D., Floréen, P., Myllymäki, P., Jacucci, G., & Kaski, S.
Venue
ACM Transactions on Information Systems
Publisher
Association for Computing Machinery (ACM)
Published
2018-10-03
Volume
36
Issue
4
Pages
1-46
ISSN
  • 1046-8188
  • 1558-2868
DOI
10.1145/3231593
Cited by
57
References
130
Language
en
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Funders
  • Tekes (Re:Know and D2I)
  • Seventh Framework Programme (611570)
  • Academy of Finland (278090)

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