Roberto Kaban, Poltak Sihombing, Mahdianta Pandia, Purwanto Simamora
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引用次数: 0

摘要

本文从信息检索的基础、构成要素和未来面临的挑战等方面综述了信息检索的相关文献。本研究的目的是观察以前研究人员在IR中使用的技术,特别是查询处理和搜索结果排序。我们采用文献回顾法,根据先前的几项研究结果,识别、回顾和观察红外技术。我们从ACM数字图书馆、Researchgate和MDPI收集了更多的文献来源。在本研究中,我们发现了几种用于检索相关文献(信息)和对准确结果进行排序的IR模型,包括EXplanaTion ranking (EXTRA)、Deep-QPP、ColBERT-PRF和UQSCM-RFD。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pemrosesan Query dan Pemeringkatan Hasil dalam Information Retrieval: Sebuah Kajian Literatur
In this study, we reviewed the literature on information retrieval starting from the basics of Information Retrieval (IR), components and future challenges. The purpose of this study is to observe techniques that have been used by previous researchers in IR, especially query processing and ranking of search results. We used a literature review method by identifying, reviewing, and observing techniques in IR based on the results of several previous studies. We collected more literature sources from the ACM Digital Library, Researchgate and MDPI. From this research, we found several IR models for searching relevant documents (information) and ranking accurate results, including EXplanaTion RAnking (EXTRA), Deep-QPP, ColBERT-PRF and UQSCM-RFD.
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