Mobile Phone Rating System with Feature Based Summarization
Maheswar Reddy Kamasani1, P. T. Rajan2
1Maheswar Reddy Kamasani*, Student, B. Tech, Department of Computer Science and Engineering (CSE), Saveetha School of Engineering, Chennai, India.
2P.T. Rajan, Professor, Department of computer science and Engineering (CSE), Saveetha School of Engineering, Chennai, India.

Manuscript received on January 01, 2020. | Revised Manuscript received on January 20, 2020. | Manuscript published on January 30, 2020. | PP: 3601-3604 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6573018520/2020©BEIESP | DOI: 10.35940/ijrte.E6573.018520

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Abstract: These days the item reviewed by the shoppers when getting the products is developing quickly. For a preferred product, the quantity of surveys can be vast. However once it involves new product the amount of reviews concerning the products is incredibly less. Thus individuals won’t be a lot of interested to shop for that product. And it takes a great deal of your time for the new product to be standard among the already existing competitors. This can be a giant disadvantage for sellers of the new product. In this paper a new product rating approach for mathematically and graphically analyzing sales of same type of products from different manufactures and with most frequent combination of items is proposed. In product sales market there is no specific rating for product of same type and combination of product purchasing pattern. By this we retrieve the best combination of products with mathematically rating. The most objective is to assist the mobile company to enhance the feature of the mobile supported the customer’s feedback. This helps the new product sellers to achieve quality for the standard of the products. For this purpose an internet site has been created in such the way that there’ll be a communication between the shoppers, the mobile company and also the administration. The purpose of product is to fulfill need of customer; based upon it there are different companies which manufacture products of same type, by analyzing it mathematically best one can be calculated thing such as customer satisfaction, product efficiency, popularity among them. . The feature primarily based report is shown in type of graph for every mobile device supported purchasers feedback. This proposal is helpful for the corporate commerce a brand new product and additionally helps them to create their product in line with client necessities and improve their business.
Keywords: Data Mining, Sales Report, Product rating, Frequent Item sets, Marketing, Summarization, Clustering, Reviewing.
Scope of the Article: Data Mining.