Recommendation Systems

Incorporating User Reviews as Implicit Feedback for Improving Recommender Systems

Recommendation systems have become common to use for online systems such as Netflix, Amazon, eBay and other online services.  In this work, I improved a recommender system based on the famous Netflix algorithm that considered implicit feedback of users on other reviews. I used data mining techniques, collaborative filtering methods and data analysis for this project. This study turned into my master thesis and was published in the Fourth International Conference on Big Data and Cloud Computing which you can read here. You can also read my complete master’s thesis here.