Work

Causality based explanations in multi-stakeholder recommendations

Year: 2020

Type: conference-paper

Abstract: This paper introduces two novel contributions in the context of multi-stakeholder recommender system. First, we present a simple and intuitive method for multi-objective and multi-stakeholder recommendation that relies on preferences for each stakeholder. The second contribution is the adaptation of Halpern and Pearl's definition of causality to introduce definitions of causes and explanations for multi-stakeholder recommender systems. Experiments conducted on real data study the tractability of such explanation approach in the context of RS.

Source: HAL

Authors: Verdeaux, Willème, Moreau, Clément, Labroche, Nicolas, Marcel, Patrick

Institution: Laboratoire d'Informatique Fondamentale et Appliquée de Tours

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3022948592

FWCI: 0.331

Cites: 21

Cited by: 2

Related to: 10