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All Journal Indonesian Journal on Computing (Indo-JC) Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Building of Informatics, Technology and Science Jurnal Pengabdian kepada Masyarakat Nusantara Charity : Jurnal Pengabdian Masyarakat Indonesian Community Journal Jurnal Pengabdian Masyarakat Akademisi eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) Jurnal Abdimas UM Jambi
Selly Meliana
Telkom University
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : Building of Informatics, Technology and Science

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Recommendation System from Microsoft News Data using TF-IDF and Cosine Similarity Methods Yunanda, Gisela; Nurjanah, Dade; Meliana, Selly
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.563 KB) | DOI: 10.47065/bits.v4i1.1670

Abstract

The rapidly growing information causes information overload, so news portals publish information massively. Readers need time to search and read more news, but the time relevance of news wears off quickly. A recommendation system is needed that can recommend news according to the preferences of readers. This study recommends news using the TF-IDF method. TF-IDF gives weight to each word in the news title, and then looks for similarity between stories using cosine similarity. To prove the accuracy of whether the system recommendation results were actually clicked by the reader, the recommendation results were matched with the reader's news history on the online news portal Microsoft News using a hit-rate. The hit-rate result in this study was 80.77%.
Co-Authors Ade Romadhony Afianti , Farah Agung Toto Wibowo Ardiyanto, Fajar Widhi Aryo Handono Bambang Pudjoatmodjo Bambang Pudjotatmodjo Bedy Purnama Bunyamin Bunyamin Dade Nurjanah Dodi Wisaksono Sudiharto Ema Rachmawati Ema Rachmawati Fat'hah Noor Prawira Fat’hah Noor Prawira Fat’hah Noor Prawira Fazmah Arif Yulianto Ferdian, Edward Fhira Nhita Hani Nurrahmi Hanifan, Abdullah Izzatul Ummah Muhammad Arzaki Prawita, Fat’hah Noor Putu Harry Gunawan Rimba Whidiana Ciptasari Satria Akbar Mugitama Yunanda, Gisela