Pemrosesan Query dan Pemeringkatan Hasil dalam Information Retrieval: Sebuah Kajian Literatur


  • Roberto Kaban * Mail Universitas Sumatera Utara, Medan, Indonesia
  • Poltak Sihombing Universitas Sumatera Utara, Medan, Indonesia
  • Mahdianta Pandia Universitas Sumatera Utara, Medan, Indonesia
  • Purwanto Simamora Universitas Sumatera Utara, Medan, Indonesia
  • (*) Corresponding Author
Keywords: Information Retrieval (IR); IR models; Query Processing; Retrieval ranking; Intelligent Search

Abstract

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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Article History
Submitted: 2023-01-07
Published: 2023-04-30
Abstract View: 529 times
PDF Download: 599 times
How to Cite
Kaban, R., Sihombing, P., Pandia, M., & Simamora, P. (2023). Pemrosesan Query dan Pemeringkatan Hasil dalam Information Retrieval: Sebuah Kajian Literatur. Journal of Information System Research (JOSH), 4(3), 748-754. https://doi.org/10.47065/josh.v4i3.2867
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