Multi-method evaluation in scientific paper recommender systems

• Main Authors: Sesagiri Raamkumar, Aravind, Foo, Schubert
• Other Authors: Wee Kim Wee School of Communication and Information
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: Scientific Paper Recommender Systems; Multi-method Evaluation
• Online Access: https://hdl.handle.net/10356/86320; http://hdl.handle.net/10220/45136
• Institution: Nanyang Technological University

Recommendation techniques in scientific paper recommender systems (SPRS) have been generally evaluated in an offline setting, without much user involvement. Nonetheless, user relevance of recommended papers is equally important as system relevance. In this paper, we present a scientific paper recomm...