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- W2735842851 abstract "The word “page or product range” means to rank the system to display the results and to provide suggestions to others. In day to day activities we rely on E-commerce ranking system such as the page indexing or product ranking of movies like reviews of movies from newspaper etc These E-commerce ranking basically help us to decide what we should opt for when we have multiple options An E-commerce ranking system (RS) helps people that have not sufficient personal experience or competence to evaluate the, potentially overwhelming, number of alternatives offered by a Web site In their simplest form RSs recommend to their users personalized and ranked lists of items Provide consumers with information to help them decide which items to purchase. In this paper, we have propsoed the improved model for the purpose of product recommendation with the higher accuracy and optimized elapsed time based parameters." @default.
- W2735842851 created "2017-07-21" @default.
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- W2735842851 date "2017-06-14" @default.
- W2735842851 modified "2023-09-28" @default.
- W2735842851 title "A Review on the Page Recommendation Model using Machine Learning Approaches" @default.
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