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Position paper: promoting user engagement and learning in search tasks by effective document representation

Arora, Piyush orcid logoORCID: 0000-0002-4261-2860 and Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365 (2016) Position paper: promoting user engagement and learning in search tasks by effective document representation. In: Search as Learning (SAL) workshop, SIGIR 2016, 21 July 2016, Pisa, Italy.

Abstract
Much research in information retrieval (IR) focuses on optimization of the rank of relevant retrieval results for single shot ad hoc IR tasks with straightforward information needs. Relatively little research has been carried out to study and support user learning and engagement for more complex search tasks. We introduce an approach intended to improve topical knowledge of a user while undertaking IR tasks. Specifically, we propose to explore methods of finding useful and informative textual units (semantic concepts) within retrieved documents, with the objective of creating improved document surrogates for presentation within the search process. We hypothesize that this strategy will promote improved implicit learning within search activities. We believe that the richer document representations proposed in the paper would help to promote engagement, understanding and learning as compared to more traditional search engine document snippets. We propose a framework for holistic evaluation of our proposed document representations and their use in search.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:semantic concepts; document surrogates;
Subjects:Computer Science > Information retrieval
Computer Science > Information storage and retrieval systems
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Published in: Proceedings of the Second International Workshop on Search as Learning co-located with the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016). 1647. CEUR.
Publisher:CEUR
Official URL:http://ceur-ws.org/Vol-1647/SAL2016_paper_18.pdf
Copyright Information:© 2016 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland (SFI) as a part of the ADAPT Centre at Dublin City University (Grant No: 12/CE/I2267).
ID Code:22801
Deposited On:30 Nov 2018 16:01 by Piyush Arora . Last Modified 01 Feb 2019 12:27
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