以用户为中心的多上下文混合推理信息检索模型

IF 1.3 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Innovative Computing Information and Control Pub Date : 2021-11-16 DOI:10.11113/ijic.v12n1.337

S. E. Nnebe, E. Okoro, F. Sadiq, B. Abara

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引用次数: 0

摘要

信息检索自20世纪40年代以来一直存在，没有它是不可能的。然而，目前的信息检索系统被认为是无效的。这种无效的原因似乎是设计为中心的。众所周知，信息检索系统的设计者和开发人员关注的是系统而不是用户。它们向用户提供相同的信息，即使用户处于不同的环境中并且有不同的偏好。以餐厅为例，提出了一种以用户为中心的多上下文混合推理信息检索模型，以提高检索结果的准确性。

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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A User-Centric Multi-Context Hybrid Reasoning Information Retrieval Model

Information Retrieval has been in existence since the 1940s and is impossible to do without. However, current information retrieval systems are known to be ineffective. The reason that seems to encompass this ineffectiveness is design-focused. Designers and developers of Information Retrieval Systems are known to be system focused rather than user-focused. They provide the same information to users even when they are in different contexts and have diverse preferences. Using a restaurant use case, we propose a conceptual user-centric multi-context hybrid reasoning Information Retrieval model to improve the accuracy of retrieved results.

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来源期刊

International Journal of Innovative Computing Information and Control 工程技术-计算机：人工智能

CiteScore

3.20

自引率

20.00%

发文量

审稿时长

4.3 months

期刊介绍： The primary aim of the International Journal of Innovative Computing, Information and Control (IJICIC) is to publish high-quality papers of new developments and trends, novel techniques and approaches, innovative methodologies and technologies on the theory and applications of intelligent systems, information and control. The IJICIC is a peer-reviewed English language journal and is published bimonthly