Skip to Main content Skip to Navigation
Conference papers

Why-Not Questions & Explanations for Collaborative Filtering

Abstract : Throughout our digital lives, we are getting recommendations for about almost everything we do, buy or consume. However, it is often the case that recommenders cannot locate the best data items to suggest. To deal with this shortcoming, they provide explanations for the reasons specific items are suggested. In this work, we focus on explanations for items that do not appear in the recommendations they way we expect them to, expressed in why-not questions, to aid the system engineer improve the recommender. That is, instead of offering explanations on every item proposed by the system, we allow the developer give feedback about items that were not proposed. We consider here the most traditional category of recommenders, i.e., the collaborative filtering one, and propose ways for providing explanations for why-not questions. We provide a detailed taxonomy of why-not questions on recommenders, and model-specific explanations based on the inherent parameters of the recommender. Finally, we propose an algorithm for producing explanations for the proposed why-not questions.
Document type :
Conference papers
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03172873
Contributor : Aikaterini Tzompanaki <>
Submitted on : Thursday, March 18, 2021 - 9:26:47 AM
Last modification on : Saturday, March 20, 2021 - 3:30:13 AM

File

Why_Not_Recommendation_System....
Files produced by the author(s)

Identifiers

Collections

Citation

Maria Stratigi, Aikaterini Tzompanaki, Kostas Stefanidis. Why-Not Questions & Explanations for Collaborative Filtering. WISE, Oct 2020, Amsterdam, Netherlands. ⟨10.1007/978-3-030-62008-0_21⟩. ⟨hal-03172873⟩

Share

Metrics

Record views

39

Files downloads

38