Extracting top competitors from unorganized data

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Abstract

In a competitive business, success factor is based on the ability to make an item more interesting to customers than competition. An E-Commerce application allows the user to view the items and their features along with the option of commenting about the item and can also view comments of other customer. From the large reviews, it is difficult for a customer to make a decision. With the set of items in existing market, competitiveness should be evaluated using the reviews so that manufacturing item is not dominated by other existing items. The proposed novel approach defines the competitiveness between two items based on market segments. A “CMiner” algorithm is used to find the top competitors of a given item using the result of Item dominance. This method improves the quality of the result when compared to previous competitor ranking models based on probability value.

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APA

Senthamil Selvi, M., Kavitha, P. V., & Angel Ida Chellam, J. (2019). Extracting top competitors from unorganized data. International Journal of Innovative Technology and Exploring Engineering, 8(5s), 515–519. https://doi.org/10.26438/ijcse/v7i2.736742

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