A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation
By Jöran Beel, Marcel Genzmehr, Stefan Langer, Andreas Nürnberger, Bela Gipp. 2013
159 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Information Systems
Citations in the corpus
- Explainable Recommendation: A Survey and New Perspectives (2018, background): “Because this survey focuses on explainable recommendation, readers are are suggested to refer Gunawardana and Shani [2009] and Beel et al. [2013] for a comprehensive analysis of online evaluation methods under the background of conventional “nonexplainable” recommendation.”
- Research-paper recommender systems: a literature survey (2015, background): “Some claim that offline evaluations should not be used for evaluating research-paper recommender systems [191].”
- Continuous Online Evaluation of Recommendation Strategies in Social Science Academic Search (2026, unknown): “On the other hand, several studies argued that test collections fail to reflect real-world user behavior and evolving information needs, motivating a shift toward online evaluation [4, 6].”