A task-based scientific paper recommender system for literature review and manuscript preparation

• Main Author: Aravind, Sesagiri Raamkumar
• Other Authors: Foo Shou Boon, Schubert
• Format: Theses and Dissertations
• Language: English
• Published: 2018
• Subjects: DRNTU::Library and information science; DRNTU::Library and information science::Libraries::Information retrieval and analysis; DRNTU::Library and information science::Libraries::Digital libraries and information portals; DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
• Online Access: http://hdl.handle.net/10356/73340
• Institution: Nanyang Technological University

In the domain of scholarly communication lifecycle, recommender systems have been built to provide research papers for researchers’ explicit and implicit information needs. Previous studies (Jardine, 2014; Mcnee, 2006) have employed an algorithmic approach of providing solutions to researcher’s task...