Level of user satisfaction with the current you tube recommendation system

FM Ardiansyah, H Solim, AAS Gunawan - Procedia Computer Science, 2023 - Elsevier
YouTube is a very large video platform that users use for an equally large variety of reasons.
YouTube uses a recommendation system to help each user pick videos that suits their …

Time series prediction on college graduation using kNN algorithm

AP Salim, KA Laksitowening… - 2020 8th International …, 2020 - ieeexplore.ieee.org
The KNN algorithm is an algorithm for classifying data based on learning data taken from k
of its closest neighbors. Classification using the K-Nearest Neighbor (KNN) algorithm can be …

Handwriting ownership recognition using contrast enhancement and LBP feature extraction based on KNN

NDA Partiningsih, RR Fratama, CA Sari… - 2018 5th …, 2018 - ieeexplore.ieee.org
Every human handwriting has different characteristics. Computers can be trained to
recognize handwritten ownership when they have been digitized. When handwriting is …

A Comparative Study of Students Graduation Analysis Using Classification Methods in Undergraduate Electrical Engineering Tidar University

D Wicaksono, S Nisworo, IA Nata - JURNAL TEKNIK …, 2024 - journal.uinjkt.ac.id
This research aimed to classify achievement factors for electrical engineering students at
Tidar University using K-Means and Agglomerative Clustering classification algorithms. The …

Level of user satisfaction with the current you tube recommendation system

Erdvin, FM Ardiansyah, H Solim, AAS Gunawan - 2023 - dl.acm.org
YouTube is a very large video platform that users use for an equally large variety of reasons.
YouTube uses a recommendation system to help each user pick videos that suits their …

The K-Nearest Neighbor Algorithm for the Classification of Internet Users in Rural Campus

E Firmansyah, D Herdiana, D Yuniarto… - 2021 9th International …, 2021 - ieeexplore.ieee.org
Internet users can be classified based on their activities so that these activities can
determine their behavior. One of these classification methods can be done using the K …

Analytics and visualization of trends in news articles

K Doshi, S Gokhale, H Mamtora… - … conference on advances …, 2019 - ieeexplore.ieee.org
Nowadays, analysis of news after its publication is being done on a huge scale to draw
useful conclusions that can benefit several sectors like advertising, journalism, education …

Deteksi Trending Topik Terkait Covid-19 Pada Tweet Bahasa Indonesia Menggunakan Metode Maximum Capturing

P Ariwibowo, I Indra - Prosiding Seminar Nasional …, 2021 - conference.upnvj.ac.id
Twitter merupakan layanan jejaring sosial yang sering digunakan sebagai sumber
informasi, seperti topik mengenai Covid-19. Banyaknya informasi yang terdapat pada tweet …

Design and Build PMB System with Prediction of Prospective Students Accepted or Withdrawal Using Random Forest Algorithm

P Sejati - Journal of Computer Science and Technology …, 2022 - al-kindipublisher.com
Abstract New Student Admission is one of the essential activities carried out regularly every
year or semester. As the operational system of student admissions progresses, student …

A Survey Study on Extracting Trending Topics from Textual Data

RK Kashmola, GAA Al-Talib - 2022 8th International …, 2022 - ieeexplore.ieee.org
This Survey presents a study on the amount of data available around us from its various
sources, then provides an explanation of trending topics and their benefits in our daily lives …