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An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning
[article]
2019
arXiv
pre-print
This paper presents an intelligent approach to handle heterogeneous and large-sized data using machine learning to generate true recommendations for the future customers. The Collaborative Filtering (CF) approach is one of the most popular techniques of the RS to generate recommendations. We have proposed a novel CF recommendation approach in which opinion based sentiment analysis is used to achieve hotel feature matrix by polarity identification. Our approach combines lexical analysis, syntax
arXiv:1910.06669v1
fatcat:zozbpuhhm5edtaol6fisirfpbi