Yüksek LisansAçık Erişim

Kişisel haber öneri sistemi

2019
0 görüntülenme
0 i̇ndirme
Danışman: Doç. Dr. Adil Alpkoçak

Özet (EN)

News recommendation systems are decision support mechanisms that make it easier for people to make choices. In this thesis, personal news recommendation system is designed and implemented by using recommendation system approaches. In addition to content-based filtering and collaborative filtering methods, keyword-based recommendation system was applied. In the scenario formed for the test data, the users who read the news in the categories determined were offered appropriate news to their interest and feedbacks to the personal news recommendation system were shown.

Yazar

Dr. Sezgin Seven

Bu Yayına Nasıl Atıf Yapılır

Sezgin Seven (Master Thesis). Kişisel haber öneri sistemi, 2019, Dokuz Eylül University.

Anahtar Kelimeler

Lisans

Tüm Hakları Saklıdır

Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.

Dokuz Eylül University tezlerinden daha fazlası