Rec4LRW : scientific paper recommender system for literature review and writing

• Main Authors: Foo, Schubert, Pang, Natalie, Sesagiri Raamkumar, Aravind
• Other Authors: Wee Kim Wee School of Communication and Information
• Format: Conference or Workshop Item
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval; DRNTU::Library and information science::Libraries::Information retrieval and analysis
• Online Access: https://hdl.handle.net/10356/107269; http://hdl.handle.net/10220/25515; http://dx.doi.org/10.3233/978-1-61499-503-6-106

In this paper, we introduce Rec4LRW, a recommender system (RS) for assisting researchers in finding research papers for their literature review and writing purposes. This system focuses on three researcher tasks – (1) Building a reading list of research papers, (2) Finding similar papers based on a...