知识驱动的简介动态

IF 5.1 2区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Artificial Intelligence Pub Date : 2024-03-21 DOI:10.1016/j.artint.2024.104117

Eduardo Fermé , Marco Garapa , Maurício D.L. Reis , Yuri Almeida , Teresa Paulino , Mariana Rodrigues

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引用次数: 0

摘要

在过去几十年里，用户配置文件已被用于信息技术的多个领域。在文献中，大多数研究工作和系统都侧重于创建用户配置文件（使用基于用户导航或交互历史的数据挖掘技术）。一般来说，档案的动态创建是通过系统地重新创建档案的方式进行的，而不使用以前的档案。在本文中，我们建议从知识驱动的角度对档案的创建、表示和动态进行形式化。我们引入了四种运算符，并以公理化的方式描述了这四种运算符的特征，以便在信念变化的启发下改变配置文件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Knowledge-driven profile dynamics

In the last decades, user profiles have been used in several areas of information technology. In the literature, most research works, and systems focus on the creation of profiles (using Data Mining techniques based on user's navigation or interaction history). In general, the dynamics of profiles are made by means of a systematic recreation of the profiles, without using the previous profiles. In this paper we propose to formalize the creation, representation, and dynamics of profiles from a Knowledge-Driven perspective. We introduce and axiomatically characterize four operators for changing profiles using a belief change inspired approach.

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来源期刊

Artificial Intelligence 工程技术-计算机：人工智能

CiteScore

11.20

自引率

1.40%

发文量

118

审稿时长

8 months

期刊介绍： The Journal of Artificial Intelligence (AIJ) welcomes papers covering a broad spectrum of AI topics, including cognition, automated reasoning, computer vision, machine learning, and more. Papers should demonstrate advancements in AI and propose innovative approaches to AI problems. Additionally, the journal accepts papers describing AI applications, focusing on how new methods enhance performance rather than reiterating conventional approaches. In addition to regular papers, AIJ also accepts Research Notes, Research Field Reviews, Position Papers, Book Reviews, and summary papers on AI challenges and competitions.