基于内容过滤的蒙古纳坎方法

Fahmi Nurfalah, Asriyanik, Agung Pambudi
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引用次数: 2

摘要

新冠病毒以各种形式广泛传播,扰乱了人类的社会活动,所涉及的活动包括活动的实施,但也有利用技术的其他替代方案,活动仍然可以在网上举行。然而,网上举办的活动的数量使得人们很难找到他们想要的活动,因为网站上的活动太多了,所以人们会感到信息过载。因此,作者进行研究的目的是通过在网站上实现推荐系统,使人们更容易找到他们想要的事件。在本研究中,作者使用基于内容的过滤方法制作了一个在线事件推荐系统。本研究的结果获得了86%的准确率由支持向量机进行的模型的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sistem Rekomendasi Event Online Menggunakan Metode Content Based Filtering
Covid-19 has spread widely with various variants, disrupting human social activities, the activities in question include the implementation of events, but there are other alternatives by utilizing technology, events can still be held online. However, the number of events that are held online makes it difficult for someone to find the event they want because there are too many events on the website so someone experiences information overload. Therefore, the authors conduct research with the goal to make it easier for someone to find the event they want by implementing a recommendation system on the website. In this study, the authors make a recommendation system using the Content-Based Filtering method in recommending an online event. The results of this study obtained an accuracy of 86% of the performance of the model carried out by SVM.
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