A REAL LIFE WEB BASED MARKETING OPTIMIZATION FRAMEWORK with EXTERNAL DATA
Öz
Big data and data science studies in recent years are booming exponentially, parallel to the data collected and increased processing speeds. As an inevitable consequence, most of the web-based companies are migrating their business models to novel technologies based on the big data and data science research. This paper is based on a real life experience based on one of the web stores with highest volume sales in Turkey. The project was building a data science model on big data technologies to make estimations based on the external data, such as weather conditions, customer demography, news at newspapers, current product alternatives, financial facts (like currency exchange rate or stock market values) and most importantly the sentimental analysis and opinion mining on social network, blogs and news. In the paper, details of problems and possible solution alternatives and methodology for problem solving and solutions and outcomes of the study are explained in the given order.
Anahtar Kelimeler
Kaynakça
- [1] Sadi Evren Seker, "Real Life Machine Learning Case on Mobile Advertisement: A Set of Real-Life Machine Learning Problems and Solutions for Mobile Advertisement," in Computational Science and Computational Intelligence (CSCI), 2016 International Conference on, 2016.
- [2] Mehmet Lutfi Arslan, Sadi Evren Seker, and Cevdet Kizil, "Innovation driven emerging technology from two contrary perspectives: A case study of Internet," Emerging Markets Journal, vol. 3, no. 3, p. 87, 2014.
- [3] Sadi Evren Seker, Weka ile Veri Madenciliği.: Draft2Digital, 2015.
- [4] Sadi Evren Seker, Cihan Mert, Nuri Ozalp, and Ugur Ayan, "Time series analysis on stock market for text mining correlation of economy news," Int. J. Soc. Sci. Humanity Stud, vol. 6, no. 1, pp. 66-91, 2013.
- [5] Sadi Evren Seker, Yavuz Unal, Erdinc H Kocer, and Zeki Erdem, "Ensembled correlation between liver analysis outputs," International Journal of Biology and Biomedical Engineering, vol. 8, pp. 1-5, 2014.
- [6] Abhishek Gupta and Dejan Milojicic, "Evaluation of HPC Applications on Cloud," in Open Cirrus Summit (OCS) 2011, vol. 6, 2011, pp. 22-26.
- [7] Sadi Evren Seker and Cihan Mert, "A Novel Feature Hashing for Text Mining," Journal of Technical Science and Technologies, vol. 2, no. 1, pp. 37-40, 2013.
- [8] Marc-André Mittermayer, "Forecasting intraday stock price trends with text mining techniques," in HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04), vol. 3, 2004, pp. 64-73.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Bilgisayar Yazılımı
Bölüm
Araştırma Makalesi
Yazarlar
Şadi Evren Şeker
0000-0002-7323-3695
Türkiye
Yayımlanma Tarihi
26 Haziran 2018
Gönderilme Tarihi
20 Kasım 2017
Kabul Tarihi
3 Ocak 2018
Yayımlandığı Sayı
Yıl 2018 Cilt: 2 Sayı: 1