Data Analytics and Recommendation Engine for E-Book Portal using Python and LAMP

Sandeep H, Chidanand H

Abstract: There is a large growth in the internet and increasingly more number of websites are coming every day and trying to sell various things and services. It is very important for these web sites to analyze the data based on the user interactions. These data should help the management team to take the right decisions and it indicates whether their business is performing as per the goals. Apart from the analytics, as an extension to it, the recommendation engine plays a major role for each website to increase the sales. There are various techniques for generating recommendations such as item based collaborative filtering, user based collaborative filtering, hybrid collaborative filtering, etc.

Keywords: Recommender Systems, Collaborative Filtering, Smoothing, Similarity Fusion, Amazon web services AWS

How to Cite?: Sandeep H, Chidanand H, "Data Analytics and Recommendation Engine for E-Book Portal using Python and LAMP", Volume 5 Issue 4, April 2016, International Journal of Science and Research (IJSR), Pages: 1080-1085, https://www.ijsr.net/getabstract.php?paperid=NOV162767, DOI: https://dx.doi.org/10.21275/NOV162767

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