Özet
The readers’ behavior have partially turned into consuming news online, after news providers are transformed the printed newspapers into digital web sites. Engaging attention of the readers by retaining them on the web site contents as much as possible to consume more articles has become crucial and as a scarce resource, it is also challenging for the providers. While readers click through on the pages, system records each click for classical counting approach, also measure the time spent on pages which is critical for news providers in digital web sites. In this regard, recommendation engines which builds on the natural language processing with machine learning algorithms play important role to gain insights from the vectorized contents and provide similar articles to the readers. We motivate to analyze news content similarities expanding with tags and emotion similarities by comparing various text analytics methods results starting from sports and travel categories. By adding domain knowledge on the findings, our aim is to have a specific category based approach which could be applied on different news providers contents in Turkey.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference |
Editörler | Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga |
Yayınlayan | Springer Verlag |
Sayfalar | 229-237 |
Sayfa sayısı | 9 |
ISBN (Basılı) | 9783030237554 |
DOI'lar | |
Yayın durumu | Yayınlandı - 2020 |
Etkinlik | International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Süre: 23 Tem 2019 → 25 Tem 2019 |
Yayın serisi
Adı | Advances in Intelligent Systems and Computing |
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Hacim | 1029 |
ISSN (Basılı) | 2194-5357 |
ISSN (Elektronik) | 2194-5365 |
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???event.eventtypes.event.conference??? | International Conference on Intelligent and Fuzzy Systems, INFUS 2019 |
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Ülke/Bölge | Turkey |
Şehir | Istanbul |
Periyot | 23/07/19 → 25/07/19 |
Bibliyografik not
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