Sistem Temu Kembali Index Berita Menggunakan Vector Space Model

Afri  Yudha

doi:10.53990/jupiter.v1i1.6

Sistem Temu Kembali Index Berita Menggunakan Vector Space Model

Authors

Afri Yudha Institut Bisnis Muhammadiyah Bekasi

DOI:

https://doi.org/10.53990/jupiter.v1i1.6

Keywords:

Consine Similarities, News Index, Precision-recall, Vector Space Model, tf-idf

Abstract

Searching with its high correctness becomes very crucial because documents maintained are in big data. Vector space model is the model to measure the similarities between documents and queries. This journal contains searching system news index for example with sports and politics which exist in portal web. By using vector space model, the searching results precisely 67% recall 100% and its accuracy 67% in K.

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Published

2024-02-20

How to Cite

Yudha , A. . (2024). Sistem Temu Kembali Index Berita Menggunakan Vector Space Model. JUPITER : Journal of Computer & Information Technology, 1(1), 44–52. https://doi.org/10.53990/jupiter.v1i1.6