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A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation
| Content Provider | ACM Digital Library |
|---|---|
| Author | Langer, Stefan Nürnberger, Andreas Genzmehr, Marcel Gipp, Bela Beel, Joeran |
| Abstract | Offline evaluations are the most common evaluation method for research paper recommender systems. However, no thorough discussion on the appropriateness of offline evaluations has taken place, despite some voiced criticism. We conducted a study in which we evaluated various recommendation approaches with both offline and online evaluations. We found that results of offline and online evaluations often contradict each other. We discuss this finding in detail and conclude that offline evaluations may be inappropriate for evaluating research paper recommender systems, in many settings. |
| Starting Page | 7 |
| Ending Page | 14 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450324656 |
| DOI | 10.1145/2532508.2532511 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-10-12 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Evaluation Click-through rate Offline evaluation Research paper recommender systems Comparative study Online evaluation |
| Content Type | Text |
| Resource Type | Article |
