Proposing a Scientific Paper Retrieval and Recommender Framework

In this paper, we propose a framework that combines aspects of user role modeling and user-interface features with retrieval and recommender systems components. The framework is based on emergent themes identified from participants feedback in a user evaluation study conducted with a prototype assis...

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Main Authors: Sesagiri Raamkumar, Aravind, Foo, Schubert, Pang, Natalie
Other Authors: Morishima, Atsuyuki
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/83387
http://hdl.handle.net/10220/41670
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-833872020-03-07T12:15:48Z Proposing a Scientific Paper Retrieval and Recommender Framework Sesagiri Raamkumar, Aravind Foo, Schubert Pang, Natalie Morishima, Atsuyuki Rauber, Andreas Liew, Chern Li Wee Kim Wee School of Communication and Information International Conference on Asian Digital Libraries (ICADL 2016) Scientific paper recommender systems Scientific paper retrieval systems In this paper, we propose a framework that combines aspects of user role modeling and user-interface features with retrieval and recommender systems components. The framework is based on emergent themes identified from participants feedback in a user evaluation study conducted with a prototype assistive system. 119 researchers participated in the study for evaluating the prototype system that provides recommendations for two literature review and one manuscript writing tasks. NRF (Natl Research Foundation, S’pore) Accepted version 2016-12-05T03:24:25Z 2019-12-06T15:21:21Z 2016-12-05T03:24:25Z 2019-12-06T15:21:21Z 2016 Conference Paper Sesagiri Raamkumar, A., Foo, S., & Pang, N. (2016). Proposing a Scientific Paper Retrieval and Recommender Framework. Lecture Notes in Computer Science, 10075, 92-97. https://hdl.handle.net/10356/83387 http://hdl.handle.net/10220/41670 10.1007/978-3-319-49304-6_12 en © 2016 Springer International Publishing AG. This is the author created version of a work that has been peer reviewed and accepted for publication by International Conference on Asian Digital Libraries, Lecture Notes in Computer Science, Springer. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/978-3-319-49304-6_12]. 6 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Scientific paper recommender systems
Scientific paper retrieval systems
spellingShingle Scientific paper recommender systems
Scientific paper retrieval systems
Sesagiri Raamkumar, Aravind
Foo, Schubert
Pang, Natalie
Proposing a Scientific Paper Retrieval and Recommender Framework
description In this paper, we propose a framework that combines aspects of user role modeling and user-interface features with retrieval and recommender systems components. The framework is based on emergent themes identified from participants feedback in a user evaluation study conducted with a prototype assistive system. 119 researchers participated in the study for evaluating the prototype system that provides recommendations for two literature review and one manuscript writing tasks.
author2 Morishima, Atsuyuki
author_facet Morishima, Atsuyuki
Sesagiri Raamkumar, Aravind
Foo, Schubert
Pang, Natalie
format Conference or Workshop Item
author Sesagiri Raamkumar, Aravind
Foo, Schubert
Pang, Natalie
author_sort Sesagiri Raamkumar, Aravind
title Proposing a Scientific Paper Retrieval and Recommender Framework
title_short Proposing a Scientific Paper Retrieval and Recommender Framework
title_full Proposing a Scientific Paper Retrieval and Recommender Framework
title_fullStr Proposing a Scientific Paper Retrieval and Recommender Framework
title_full_unstemmed Proposing a Scientific Paper Retrieval and Recommender Framework
title_sort proposing a scientific paper retrieval and recommender framework
publishDate 2016
url https://hdl.handle.net/10356/83387
http://hdl.handle.net/10220/41670
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