Browsing College of Engineering and Technology by Subject "Recommender systems (Information filtering)"
Now showing items 1-2 of 2
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CUSTOMER REVIEWS ANALYSIS WITH DEEP NEURAL NETWORKS FOR E-COMMERCE RECOMMENDER SYSTEMS
(East Carolina University, 2019-07-17)The first part of this thesis systematically reviews the trend of researches conducted from 2011 to 2018 in terms of challenges and problems regarding developing a recommendation system, areas of application, proposed ... -
INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM
(East Carolina University, 2016-08-29)Online shopping has developed in parallel with the Internet, and Recommendation Systems have played a pivotal role in its growth. The recommendations are usually provided in two ways: Content-based Filtering and Collaborative ...