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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Format: | Conference Paper |
Language: | English |
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2016
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Online Access: | https://hdl.handle.net/10356/83387 http://hdl.handle.net/10220/41670 |
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author | Sesagiri Raamkumar, Aravind Foo, Schubert Pang, Natalie |
author2 | Morishima, Atsuyuki |
author_facet | Morishima, Atsuyuki Sesagiri Raamkumar, Aravind Foo, Schubert Pang, Natalie |
author_sort | Sesagiri Raamkumar, Aravind |
collection | NTU |
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. |
first_indexed | 2024-10-01T05:50:48Z |
format | Conference Paper |
id | ntu-10356/83387 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:50:48Z |
publishDate | 2016 |
record_format | dspace |
spelling | ntu-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 |
spellingShingle | Scientific paper recommender systems Scientific paper retrieval systems Sesagiri Raamkumar, Aravind Foo, Schubert Pang, Natalie Proposing a Scientific Paper Retrieval and Recommender Framework |
title | 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_short | Proposing a Scientific Paper Retrieval and Recommender Framework |
title_sort | proposing a scientific paper retrieval and recommender framework |
topic | Scientific paper recommender systems Scientific paper retrieval systems |
url | https://hdl.handle.net/10356/83387 http://hdl.handle.net/10220/41670 |
work_keys_str_mv | AT sesagiriraamkumararavind proposingascientificpaperretrievalandrecommenderframework AT fooschubert proposingascientificpaperretrievalandrecommenderframework AT pangnatalie proposingascientificpaperretrievalandrecommenderframework |