International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
Intelligent Shopping Recommender Using Data Mining Aditya Joshi
Kandibanda Naveen Kumar
Information Science and Engineering The National Institute of Engineering Mysore, India
Information Science and Engineering The National Institute of Engineering Mysore, India
K Raghuveer
Professor The National Institute of Engineering Mysore, India
Abstract – The mode that people consume on the shopping gets more and more popular, it contributes the economic value in modern society. But it carries a series of problems to the consumers, such that the users can choose the expected product hardly. The paper mainly presents the fuzzy theory to deal with the users’ behavior data, and the identification of customers taste for the product recommendations. A whole personalized recommendation model is built, and proposed evaluation and optimization function are applied to improve the accuracy of recommendation system with case study. Finally, the customer satisfaction function is better verified by the proposed system.
Key Words: Data Mining. 1. INTRODUCTION With the rapid development of the technology, the shopping trend seems to be more and more necessary in peoples’ daily life, and it is now changing peoples’ consumption pattern, especially in some developed regions. The money which people spend through the shopping gets more and more, so it contributes the economic value in modern society, but it carries a series of problems to the consumers, such that the users can find and choose the expected product hardly. The product offers to the customers is universality. In this case, the personalized recommendation system was created, but the recommendation system has the universality, it causes the reducing accuracy of the recommendation. In recent years, there are many scholars who are starting to optimize the personalized recommendation system, and using this way to satisfy the different consumers’ personal needs. [4]The research of decision methodology and optimization based on customer purchase behavior is a hot point in shopping malls. Returns logistics method is used to determine whether the customer's returns aspiration are accepted or not, considering the customer's behavior. And the sensitivity of the time and satisfactions are considered as well. Personalized recommendation of products for the customers is one of the factor to gain business profits as well as customers satisfaction. Today's products recommendations has universality but the customer buying behaviors differs based on their type and their interest. Advertising carries with it the ability to persuade, power to influence one's mind and mould the future. Advertising can be described as a way of communicating to the market in order to promote or sell something. It can be a firm product, business service. In order to advertise, the messages are paid for by various agencies and sponsors which then appear in various forms of media like newspaper, television advertisement, direct mails, radio advertisement, magazines, emails, text messages, blogs and websites. Advertising is not only used to promote and sell but it has the power to persuade the mind and shape density of the market. The company’s profit margins and economy can be taken to new heights with the power of advertising. Advertising meets the short term goals of a product like its information, generating awareness, improving credibility and productivity and also long terms goals which include maintaining a brand image of the product, adding emotional value to the brand and reaching a positive reputation in the market.
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