Journal Title : International Journal of Modern Trends in Engineering and Science
Paper Title : A Research Paper on Data Analysis (rating distribution, time series analysis) & using The Recommendation Algorithm with Cosine similarity, Correlation matrix and SVD on Amazon dataset
Author’s Name : Pranjal Chowdhury , ParthoProtim Sarkar
ISSN no: 2348-3121
Page no: 10-14
Abstract – Nowadays . Data analysis has become a very important area for both companies and researchers as a consequence of the technological developments in recent years. Recommender system has a long history as a successful application in artificial intelligence. Collaborative filtering or recommender systems use a database about user preferences to predict additional topics or products a new user might like. This paper describes some algorithms designed for this task including cosine-based similarity algorithm and correlation-based similarity algorithm. we conclude that correlation based similarity algorithm acts better than Cosine based similarity algorithm . We adopted free-formatted rating-based into traditional 2-Dimensional SVD approach. We analyzed the effect of different rating similarity techniques to the 3-Dimensional SVD recommendation performance.
Keywords – Recommendation Systems, Singular Value Decomposition, Collaborative filtering, correlation-based similarity algorithms, cosine-based similarity algorithm