A Machine Learning Based Mobile Data Recommendation system

Computer engineering

— Quality of Service (QoS) is one of the most important success criteria for Internet Service Providers (ISP) who own network infrastructures, such as transmission media for both wired and wireless networks, speed of communication(bandwidth) to the Internet, etc. But As a user, we need to advance resource management to maximize the utilization of our resources according to our requirements. Internet Service Providers (ISP) provides only a fixed amount of data according to plan purchase by the user with maximums possible speed(bandwidth) of the user network circle. To use the data pack by device, need an advanced system to manage all data smartly. The main goal of this work is to combine both analysis user needs and analyze user data to find the most possible accurate path to use data. The device calculates the most accurate way to use all data and automatically manage uses speed (bandwidth) to after the end of the package duration data full uses. Today we perform most of the work help of internet in a recent survey we see the use of the internet in per days increase rapidly and Internet Service Providers (ISP) in order to improve their products and services and provide day to day more speed(bandwidth) and reliable service so we need very carefully to use our data pack otherwise we consume data in very less time some time it’s not beneficial . Now a day's researchers dealing with how to improve the infrastructure of the network and how to provide more bandwidth to our user so they feel a better experience. Present days Internet Service Providers (ISP) to control Bandwidth use a static algorithm. In this time Internet Service Providers (ISP) some statics technique to control bandwidth like after use of 80 percent of they reduce speed to fixed basics speed some ISP not reduce the speed they continue till data pack, not complete. Now this day for a fixed plan of data pack we need a smart Recommender Systems to manage speed (Bandwidth) to proper use of all available data according to everyone need

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