چکیده مقاله
With rapid development of information technology as well as, its growing trend, discovering patterns from the data bases has more and more attention in the recent years On theother hand, customer shopping basket analysis is an important value in highly competitive nature of E commerce market As a result, it can help to discover interesting patterns to decision making process For this aim, in this paper data preprocessing of data base is done with matrix factorization Then, in order to investigate customer behavior and find favorite products in Ecommerce markets, logistic regression, Apriori algorithm’s confidence formula and online AdaBoost are applied Thus, in this way, we have been able to collect customer’s favorites and suggest desire products to customers As a result, the amount of sales in E commerce will increase
کلیدواژهها
نویسندگان
Bita Ture Savadkoohi
Seraj Higher Education Institute, Department of Computer and Electrical Engineering, Next to Munciple Museum, Maghsoodieh Avenue, Mohammadi Alley, Tabriz, Iran
Mitra Aliakbari
Azad University, Azarshahr Branch, Department of Computer and Electrical Engineering, Azarshahr, Iran
شیوه ارجاع
Ture Savadkoohi, Bita and Aliakbari, Mitra,1399,Predicting Customer Favorite Products in E-commerce,6th International Conference on Innovation and Research in Engineering Sciences
ارائهشده در
مجموعه مقالات ششمین کنفرانس بین المللی نوآوری و تحقیق در علوم مهندسی10 تیر 1399