Tüm Metin Arama Mimarisine ve KNN Sınıflandırma Modeline Dayalı Kişisel Haber Öneri Sistemi Uygulaması

Bu çalışmada metin tabanlı veriler olan haberler için öneri sistemi tasarlanması hedeflenmiştir. Haber kaynakları olarak internetteki haber kanallarından toplanan içerikler kullanılmıştır. KNN sınıflandırma yaklaşımından üretilen bir algoritma sunulmuş ve haber metinleri üzerinde tüm metin arama mimarisi uygulanmıştır. Öneri sistemi yöntemlerinden içerik tabanlı filtreleme ve işbirlikçi filtreleme yöntemlerinin yanında anahtar kelimeye dayalı öneri sistemi de açıklanmıştır ve uygulanmıştır.

Personal News Recommendation System Application Based on Full Text Search Architecture and KNN Classification Model

In this study, it is aimed to design recommender system for news which is text based data. Recommended news content is collected from online news channels. The algorithm generated from the KNN classification approach is presented and the full text search architecture is applied on news texts. In addition to content-based filtering and collaborative filtering methods, the keyword-based recommendation system is explained and implemented.

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