Research paper recommender system evaluation
Author(s) -
Joeran Beel,
Stefan Langer,
Marcel Genzmehr,
Béla Gipp,
Corinna Breitinger,
Andreas Nürnberger
Publication year - 2013
Publication title -
kops (university of konstanz)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2532508.2532512
Subject(s) - recommender system , computer science , baseline (sea) , information retrieval , value (mathematics) , data science , machine learning , oceanography , geology
Over 80 approaches for academic literature recommendation exist today. The approaches were introduced and evaluated in more than 170 research articles, as well as patents, presentations and blogs. We reviewed these approaches and found most evaluations to contain major shortcomings. Of the approaches proposed, 21% were not evaluated. Among the evaluated approaches, 19% were not evaluated against a baseline. Of the user studies performed, 60% had 15 or fewer participants or did not report on the number of participants. Information on runtime and coverage was rarely provided. Due to these and several other shortcomings described in this paper, we conclude that it is currently not possible to determine which recommendation approaches for academic literature are the most promising. However, there is little value in the existence of more than 80 approaches if the best performing approaches are unknown.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom