Argumentation meets matrix factorization: A dual perspective for explainable recommendations

Authors

Elsa Negre (ORCID: https://orcid.org/0000-0001-6401-3837)
Jinfeng Zhong (ORCID: https://orcid.org/0000-0001-9267-590X)

Publication Details

Journal: Applied Soft Computing
Published: 2025-08-05
DOI: https://doi.org/10.1016/j.asoc.2025.113652
Citations: 3
Primary Topic: Multi-Agent Systems and Negotiation
Type: article
Field-Weighted Citation Impact: 7.44

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Argumentation meets matrix factorization: A dual perspective for explainable recommendations

Elsa Negre, Jinfeng Zhong

Aug 5, 2025

3 citations

Applied Soft Computing

Multi-Agent Systems and Negotiation

7.44

article

Argumentation meets matrix factorization: A dual perspective for explainable recommendations

Elsa Negre, Jinfeng Zhong

August 5, 2025article en

3 citations

Abstract

No abstract available for this paper.

Applied Soft ComputingVol. 183

Openalex Percentile: Top 3%

Multi-Agent Systems and Negotiation

7.44

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Argumentation meets matrix factorization: A dual perspective for explainable recommendations — Elsa Negre, Jinfeng Zhong · Applied Soft Computing (2025) | TGRS Research Map | TGRS