Author : Aparajita Singh 1
Date of Publication :7th June 2016
Abstract: Recommendation Engines are common nowadays on various e-commerce websites. These algorithms suggest users with a list of various items they might be interested in. With the growth in e-commerce, the accuracy of these algorithms has been increasing daily. In this paper, we study various approaches for developing such algorithms and analysing them to design our own recommendation algorithm. The final algorithm is based on the approaches discussed in the paper. The algorithm is improved with the help of a survey which was conducted online.
Reference :
-
- Movie Recommendation Based on Graph Traversal Algorithms Luboˇs Demoviˇc, Eduard Fritscher, Jakub Kˇr´Ä±Ë‡z, Ondrej Kuzm´Ä±k, Ondrej Proksa, Diana Vandl´Ä±kov´a, Duˇsan Zelen´Ä±k, M´aria Bielikov´a, Institute of Informatics and Software Engineering, Faculty of Informatics and Information Technologies, Slovak University of Technology, Ilkoviova, 842 16, Bratislava, Slovakia televido@googlegroups.com
- Research-Paper Recommender Systems: A Literature Survey Joeran Beel, Bela Gipp, Stefan Langer, and Corinna Breitinger
- Exploring the Filter Bubble: The Effect of Using Recommender Systems on Content Diversity Tien T. Nguyen, Pik-Mai Hui, F. Maxwell Harper, Loren Terveen and Joseph A. Konstan