A Formal Concept Analysis Approach to Cooperative Conversational Recommendation

Authors

Pablo Cordero^1, , Manuel Enciso^2, , Ángel Mora^1, , Manuel Ojeda-Aciego^{1, *,} , Carlos Rossi^2,

¹Department Matemática Aplicada, Universidad de Málaga, ETSI Informática, Blv. Louis Pasteur 35, 29071 Málaga, Spain

²Department Lenguajes y Ciencias de la Computación, Universidad de Málaga, ETSI Informática, Blv. Louis Pasteur 35, 29071 Málaga, Spain

^*Corresponding author. Email: aciego@uma.es

DOI

10.2991/ijcis.d.200806.001How to use a DOI?

Keywords

Formal concept analysis; Simplification logic; Conversational recommender systems; Group recommender systems

Abstract

We focus on the development of a method to guide the choice of a set of users in an environment where the number of features describing the items is high and user interaction becomes laborious. Using the framework of formal concept analysis, particularly the notion of implication between attributes, we propose a method strongly based on logic which allows to manage the users' preferences by following a conversational paradigm. Concerning complexity, to build the conversation and provide updated information based on the users' previous actions (choices) the method has polynomial delay.

Copyright

© 2020 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Pablo Cordero
AU  - Manuel Enciso
AU  - Ángel Mora
AU  - Manuel Ojeda-Aciego
AU  - Carlos Rossi
PY  - 2020
DA  - 2020/08/19
TI  - A Formal Concept Analysis Approach to Cooperative Conversational Recommendation
JO  - International Journal of Computational Intelligence Systems
SP  - 1243
EP  - 1252
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200806.001
DO  - 10.2991/ijcis.d.200806.001
ID  - Cordero2020
ER  -