Analysis and design of a recommendation system based on user reviews for online businesses

Αραβανή, Λαυρεντία

Analysis and design of a recommendation system based on user reviews for online businesses

Date

2023-07-14

Authors

Αραβανή, Λαυρεντία

Abstract

In recent days, Artificial Intelligent algorithms have emerged in hotel recommendation systems, being a highly growing new topic. Deep Learning methods such as Natural Language processing models, can be very useful for creating even more efficient recommendation systems, mainly due to their ability to extract semantic knowledge of user’s text reviews. This can lead on creating of intelligent models which will be able to classify user's profiles based on their preferences and their emotions via their feedback text reviews, regarding their hotel staying experience. In this work, we propose and design a novel approach, which takes advantage of Natural Language Processing (NLP) algorithms along with Machine Learning (ML) and Artificial Intelligence (AI) techniques, to exploit the customer text reviews and develop a powerful Decision/Recommendation Support System (DSS) to help hotel customers decide which hotel is most appropriate to their preferences.