Explanations accompanying a recommendation can assist users in understanding the decision made by recommendation systems, which in turn increases a user's ...
Aug 30, 2023 · We aim to generate fact-grounded recommendation explanations that are objectively described with item features while implicitly considering a user's ...
Dec 7, 2023 · Explanations accompanying a recommendation can assist users in understanding the decision made by recommendation systems, which in.
This work proposes a knowledge graph (KG) approach to natural language explainable recommendation that draws on user-item features through a novel ...
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KnowRec paves way for research focused on detailed, objective, and personal explanations in the realm of explainable recommendation systems. Code: https:// ...
The framework encourages two modules to complement each other in generating effective and explainable recommendation: 1) inductive rules, mined from item- ...
Jun 25, 2021 · A self-rationalizing framework that grounds its predictions and two complementary types of explanations (NLEs and extractive rationales) in background ...
Grounded Natural Language Generation with Knowledge Graphs
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Mar 27, 2023 · The first step is using the structured data of the Knowledge Graph to enrich the natural language of the query with structured data.
Missing: Explanation. | Show results with:Explanation.
Duration: 56:40
Posted: Jul 8, 2021
Posted: Jul 8, 2021
Missing: Recommendation Explanation.
2023. Knowledge-grounded Natural Language Recommendation Explanation. A Colas, J Araki, Z Zhou, B Wang, Z Feng. arXiv preprint arXiv:2308.15813, 2023. 5, 2023.