Text Enhanced Recommendation System Model Based on Yelp Reviews
Peter Kouvaris, Ekaterina Pirogova, Hari Sanadhya, Albert Asuncion, A. Rajagopal · SMU Scholar (Southern Methodist University) · 2018
In this paper, we introduce a useful natural language model for improving recommendation systems using collaborative filtering algorithms on ordinal ratings data. Since their inception, recommendation systems have evolved from simple user-business-rating matrices to complex systems that can consume multiple dimensions. Using Yelp's competition data set, we explore extending these dimensions to include natural language by leveraging a dual neural network architecture to produce a new and improved star rating system which offers potential improvements to collaborative filtering based recommendation systems.