Evaluating the effectiveness of explanations for recommender systems
Volume: 22, Issue: 4-5, Pages: 399 - 439
Published: Feb 16, 2012
Abstract
When recommender systems present items, these can be accompanied by explanatory information. Such explanations can serve seven aims: effectiveness, satisfaction, transparency, scrutability, trust, persuasiveness, and efficiency. These aims can be incompatible, so any evaluation needs to state which aim is being investigated and use appropriate metrics. This paper focuses particularly on effectiveness (helping users to make good decisions) and...
Paper Details
Title
Evaluating the effectiveness of explanations for recommender systems
Published Date
Feb 16, 2012
Volume
22
Issue
4-5
Pages
399 - 439
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History