A Formal Concept Analysis Approach to Cooperative Conversational Recommendation

被引：6

作者：

Cordero, Pablo ^{[1
]}

Enciso, Manuel ^{[2
]}

Mora, Angel ^{[1
]}

Ojeda-Aciego, Manuel ^{[1
]}

Rossi, Carlos ^{[2
]}

机构：

[1] Univ Malaga, Dept Matemat Aplicada, ETSI Informat, Blv Louis Pasteur 35, Malaga 29071, Spain

[2] Univ Malaga, Dept Lenguajes & Ciencias Comp, ETSI Informat, Blv Louis Pasteur 35, Malaga 29071, Spain

来源：

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2020年 / 13卷 / 01期

关键词：

Formal concept analysis; Simplification logic; Conversational recommender systems; Group recommender system; FEATURE-SELECTION; SYSTEMS; RETRIEVAL; CLOSURE;

D O I：

10.2991/ijcis.d.200806.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We focus on the development of a method to guide the choice of a set of users in an environment where the nunlber 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 pr pose 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 polyilonUal delay. (C) 2020 The Authors. Published by Atlantis Press B.V.

引用

页码：1243 / 1252

页数：10

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