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Proactive information retrieval

Sen, Procheta (2021) Proactive information retrieval. PhD thesis, Dublin City University.

Abstract
Users interact with digital systems with some task in his mind. An example of a task could be writing a research paper on a topic. Tasks can be single or multi-staged. In the process of accomplishing their task objectives, a user often needs to interact with an information retrieval (IR) system to address one or more information needs which arise while working on their task, e.g. for writing their research paper on a chosen topic, the user needs to look for existing research works related to the topic. Traditional IR systems do not take into account a user's task intent while showing search results to the user for a specific query submitted by the user. In our work we propose next generation IR systems (i.e. proactive IR systems) which seek to anticipate the user's underlying task from his interaction with a digital system to automatically identify their information needs and to suggest potentially relevant information sources to help the user to accomplish his task.
Metadata
Item Type:Thesis (PhD)
Date of Award:November 2021
Refereed:No
Supervisor(s):Jones, Gareth J.F.
Uncontrolled Keywords:proactive information retrieval; proactive search; zero query information retrieval; query log analysis; simulation in information retrieval experimentation
Subjects:Computer Science > Artificial intelligence
Computer Science > Computational linguistics
Computer Science > Information retrieval
Computer Science > Machine learning
Computer Science > Information storage and retrieval systems
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
Funders:Science Foundation Ireland grant 07/CE/I1142
ID Code:26246
Deposited On:29 Oct 2021 13:45 by Gareth Jones . Last Modified 01 Oct 2022 03:30
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