Provide an Opinion Analysis-Based Recommender System for Personalized Personal Banking Services

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Ghobakhloo Mehregan; RAJABZADEH GHATARI ALI; TOLOIE ESHLAGHY ABBAS; ALBORZI MAHMOOD

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Journal Paper

Paper Information

Journal: MODERN RESEARCHES IN DECISION MAKING Year:2020 | Volume:5 | Issue:1 Page(s): 25-49

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Information Journal Paper

Title

Provide an Opinion Analysis-Based Recommender System for Personalized Personal Banking Services

Author(s)

Ghobakhloo Mehregan | RAJABZADEH GHATARI ALI | TOLOIE ESHLAGHY ABBAS | ALBORZI MAHMOOD | Issue Writer Certificate

Keywords

customer opinionQ1

customer experienceQ1

Recommender SystemQ1

personal bankingQ1

PersonalizationQ1

Abstract

Customer retention is an important issue for banks. This issue in the field of machine learning and statistical issues is focusing on the problem of accurately predicting customer needs and responding to it in the bank’ s dynamic environment. Since rarely effective action has been taken by considering personalized actions to improve customer retention rates, but these decisions are at least as important as the proper identification of endangered customers. Deciding about what to do to provide specific and personalized services for customers typically leads to managers who can only rely on their knowledge. By reviewing the literature on CRM, this research provides a model that can be used to generate customer retention and marketing activities in personal banking, which includes analyzing clients and producing actions to maintain them, and analysts also set Using personalized actions to maintain customers using one of the approaches presented in this article, they are using an Recommender System utilizing the opinion and experiences of customers.

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APA: Copy

Ghobakhloo, Mehregan, RAJABZADEH GHATARI, ALI, TOLOIE ESHLAGHY, ABBAS, & ALBORZI, MAHMOOD. (2020). Provide an Opinion Analysis-Based Recommender System for Personalized Personal Banking Services. MODERN RESEARCHES IN DECISION MAKING, 5(1 ), 25-49. SID. https://sid.ir/paper/374111/en

Vancouver: Copy

Ghobakhloo Mehregan, RAJABZADEH GHATARI ALI, TOLOIE ESHLAGHY ABBAS, ALBORZI MAHMOOD. Provide an Opinion Analysis-Based Recommender System for Personalized Personal Banking Services. MODERN RESEARCHES IN DECISION MAKING[Internet]. 2020;5(1 ):25-49. Available from: https://sid.ir/paper/374111/en

IEEE: Copy

Mehregan Ghobakhloo, ALI RAJABZADEH GHATARI, ABBAS TOLOIE ESHLAGHY, and MAHMOOD ALBORZI, “Provide an Opinion Analysis-Based Recommender System for Personalized Personal Banking Services,” MODERN RESEARCHES IN DECISION MAKING, vol. 5, no. 1 , pp. 25–49, 2020, [Online]. Available: https://sid.ir/paper/374111/en

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