DESIGNING A MODEL FOR IMPROVING BANKING RECOMMENDER SYSTEMS BASED ON PREDICTING CUSTOMERS’ INTERESTS: APPLICATION OF DATA MINING TECHNIQUES

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MOTAHARINEJAD MARYAM SADAT; ZOLFAGHARZADEH MOHAMMAD MAHDI; KHADANGI EHSAN; SADABADI ALI ASGHAR

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Journal: JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT Year:2016 | Volume:8 | Issue:2 Page(s): 393-414

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Title

DESIGNING A MODEL FOR IMPROVING BANKING RECOMMENDER SYSTEMS BASED ON PREDICTING CUSTOMERS’ INTERESTS: APPLICATION OF DATA MINING TECHNIQUES

Author(s)

MOTAHARINEJAD MARYAM SADAT | ZOLFAGHARZADEH MOHAMMAD MAHDI | KHADANGI EHSAN | SADABADI ALI ASGHAR | Issue Writer Certificate

Keywords

CLASSIFICATIONQ2

DATA MININGQ2

E-BANKINGQ2

RECOMMENDER SYSTEMQ1

Abstract

Nowadays, banks require new devices such as RECOMMENDER SYSTEMs to attract and preserve customers. Unlike most RECOMMENDER SYSTEMs in which the given recommendation is based on similarities between the preferences of users, this research has employed the CLASSIFICATION techniques where customer’s past interests is considered as the most important feature to provide proper banking services for them. In this research, four classifiers including MLP, SVM, KNN, and Naïve Bayes have been used. Firstly, the data set which was related to the services used by different bank customers was pre-processed and four different CLASSIFICATION methods were trained by using it. Then, their validations were assessed by the 10-fold cross validation and the best method was selected. Lastly, the final RECOMMENDER SYSTEM which was a combination of four CLASSIFICATION methods including Naïve Bayes with performance P=%85.4, 5-nn with P=%83.3, MLP with P=%81.4, and MLP with P=%92.6 respectively proposed for recommendation of four banking services including the internet, mobile, internet transfer and paying on the phone is.

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APA: Copy

MOTAHARINEJAD, MARYAM SADAT, ZOLFAGHARZADEH, MOHAMMAD MAHDI, KHADANGI, EHSAN, & SADABADI, ALI ASGHAR. (2016). DESIGNING A MODEL FOR IMPROVING BANKING RECOMMENDER SYSTEMS BASED ON PREDICTING CUSTOMERS’ INTERESTS: APPLICATION OF DATA MINING TECHNIQUES. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 8(2 ), 393-414. SID. https://sid.ir/paper/140445/en

Vancouver: Copy

MOTAHARINEJAD MARYAM SADAT, ZOLFAGHARZADEH MOHAMMAD MAHDI, KHADANGI EHSAN, SADABADI ALI ASGHAR. DESIGNING A MODEL FOR IMPROVING BANKING RECOMMENDER SYSTEMS BASED ON PREDICTING CUSTOMERS’ INTERESTS: APPLICATION OF DATA MINING TECHNIQUES. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2016;8(2 ):393-414. Available from: https://sid.ir/paper/140445/en

IEEE: Copy

MARYAM SADAT MOTAHARINEJAD, MOHAMMAD MAHDI ZOLFAGHARZADEH, EHSAN KHADANGI, and ALI ASGHAR SADABADI, “DESIGNING A MODEL FOR IMPROVING BANKING RECOMMENDER SYSTEMS BASED ON PREDICTING CUSTOMERS’ INTERESTS: APPLICATION OF DATA MINING TECHNIQUES,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 8, no. 2 , pp. 393–414, 2016, [Online]. Available: https://sid.ir/paper/140445/en

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