# Fiducia: A Personalized Food Recommender System for Zomato

## TL;DR

Fiducia is a personalized food recommendation system that analyzes Zomato reviews to identify relevant cafe items, assess sentiment, and suggest restaurants with high accuracy, improving upon existing baselines.

## Contribution

The paper introduces Fiducia, a novel review processing pipeline that personalizes restaurant recommendations by item-specific sentiment analysis and similarity measures.

## Key findings

- Sentiment analyzer accuracy exceeds 85%.
- Recommender system achieves an RMSE of about 1.01.
- Outperforms baseline recommendation methods.

## Abstract

This paper presents Fiducia, a food review system involving a pipeline which processes restaurant-related reviews obtained from Zomato (India's largest restaurant search and discovery service). Fiducia is specific to popular cafe food items and manages to identify relevant information pertaining to each item separately in the reviews. It uses a sentiment check on these pieces of text and accordingly suggests an appropriate restaurant for the particular item depending on user-item and item-item similarity. Experimental results show that the sentiment analyzer module of Fiducia achieves an accuracy of over 85% and our final recommender system achieves an RMSE of about 1.01 beating other baselines.