Text Enhanced Recommendation System Model Based on Yelp Reviews

Authors

Peter Kouvaris, Southern Methodist UniversityFollow
Ekaterina Pirogova, Southern Methodist UniversityFollow
Hari Sanadhya, Southern Methodist UniversityFollow
Albert Asuncion, Southern Methodist UniversityFollow
Arun RajagopalFollow

Abstract

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.

Recommended Citation

Kouvaris, Peter; Pirogova, Ekaterina; Sanadhya, Hari; Asuncion, Albert; and Rajagopal, Arun (2018) "Text Enhanced Recommendation System Model Based on Yelp Reviews," SMU Data Science Review: Vol. 1: No. 3, Article 8.
Available at: https://scholar.smu.edu/datasciencereview/vol1/iss3/8

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License