Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83387
Title: Proposing a Scientific Paper Retrieval and Recommender Framework
Authors: Sesagiri Raamkumar, Aravind
Foo, Schubert
Pang, Natalie
Keywords: Scientific paper recommender systems
Scientific paper retrieval systems
Issue Date: 2016
Source: Sesagiri Raamkumar, A., Foo, S., & Pang, N. (2016). Proposing a Scientific Paper Retrieval and Recommender Framework. Lecture Notes in Computer Science, 10075, 92-97.
Abstract: 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.
URI: https://hdl.handle.net/10356/83387
http://hdl.handle.net/10220/41670
DOI: 10.1007/978-3-319-49304-6_12
Rights: © 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].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Conference Papers

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