Suggesting New Restaurants To Visit Using Content Based Recommender System

Parihar, Harshit (2023) Suggesting New Restaurants To Visit Using Content Based Recommender System. Masters thesis, Dublin, National College of Ireland.

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Abstract

In this new day and age data analytics has become a part of our daily life. We come across recommendations which range from search engines to advertisements of products on different e-commerce websites. One such area of recommendations include restaurants and food. The pre-existing applications do work quite well but may force upon recommendation based on profit of the organization itself. They do not ask for input from the user by asking them what they might like or not like.A new look can be provide by creating new models of recommending places in a more accurate and quicker way providing help to people in need of suggestions along with asking them for input which may vary from the restaurant they previously visited or a particularly good review of a place that they imagine is the best for them. To create a good recommendation system this research will use pre-existing Machine Learning algorithms. The data used in this research is scraped from a very famous food application used in India and consist of data of restaurants including there reviews. This data is freely available for educational purposes. No personal information about anybody or owners of any place is consisted in these datasets. This research aims to help businesses and people together by promoting new places and positivity in peoples lives.

In the end of this research multiple recommendation models are created. One uses reviews of places and matches most similar places together, One uses input of a review that an ideal place should have according to the user, and the last one uses restaurant that the user might have previously visited along with location preference to give recommendations.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Horn, Christian UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Algebra > Algorithms > Computer algorithms H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Hospitality Industry Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	23 May 2023 16:16
Last Modified:	23 May 2023 16:16
URI:	https://norma.ncirl.ie/id/eprint/6631

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