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A baseline Interactive retrieval engine for visual lifelogs at the NTCIR-14 lifelog-3 task

Ninh, Van-Tu orcid logoORCID: 0000-0003-0641-8806, Le, Tu-Khiem orcid logoORCID: 0000-0003-3013-9380, Zhou, Liting orcid logoORCID: 0000-0002-7778-8743, Healy, Graham orcid logoORCID: 0000-0001-6429-6339, Kaushik, Venkataraman, Tran, Minh-Triet orcid logoORCID: 0000-0003-3046-3041, Dang-Nguyen, Duc-Tien orcid logoORCID: 0000-0002-2761-2213, Smyth, Sinéad orcid logoORCID: 0000-0002-8736-0505 and Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 (2019) A baseline Interactive retrieval engine for visual lifelogs at the NTCIR-14 lifelog-3 task. In: 14th NTCIR (2018 - 2019) Evaluation of Information Access Technologies, 10-13 June 2019, Tokyo, Japan.

Abstract
This paper describes the work of DCU research team in collaboration with University of Science, Vietnam, and University of Bergen, Norway at the Lifelog task of NTCIR-14. In this paper, a new interactive retrieval engine is described that supports faceted retrieval and we present the results of an initial experiment with four users. Following this initial experiment, we implement a list of changes for a revised interactive retrieval engine for the LSC2019 comparative evaluation competition. The interactive retrieval system we describe utilises the wide range of lifelog metadata provided by the task organisers to develop an extensive faceted retrieval system.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Interactive lifelog search engine
Subjects:Computer Science > Information retrieval
Computer Science > Interactive computer systems
Computer Science > Information storage and retrieval systems
Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Published in: NTCIR-14 Conference: Proceedings of the 14th NTCIR Conference on Evaluation of Information Access Technologies. . Association for Computing Machinery (ACM).
Publisher:Association for Computing Machinery (ACM)
Official URL:http://dx.doi.org/10.1145/3326460.3329162
Copyright Information:© 2019 Association for Computing Machinery
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Irish Research Council (IRC) under Grant Number GOIPG/2016/741, Science Foundation Ireland under grant numbers SFI/12/RC/2289, Science Foundation Ireland under grant numbers 13/RC/2106
ID Code:24171
Deposited On:27 Jan 2020 16:00 by Van-Tu Ninh . Last Modified 08 Aug 2022 09:17
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