recommendation system for restaurant

Complete Implementation Plan for Knowledge-Based Restaurant Recommender System

Description:

This project presents a comprehensive implementation of a Knowledge-Based Restaurant Recommender System designed to suggest suitable restaurants to users based on their preferences, dietary needs, cuisine interests, and contextual factors. Unlike collaborative filtering, this system relies on explicit knowledge and rule-based reasoning to match users with optimal dining options.

The project includes detailed planning, system design, data flow, and the application of a knowledge-based inference engine to deliver accurate, personalized recommendations.

Key Features:

Personalized restaurant recommendations using knowledge-based logic

Rule-based reasoning using expert system principles

User-friendly design and scalable implementation plan

Focus on explicit user preferences (e.g., cuisine type, price range, dietary restrictions)

Technologies and Tools:

Python

Expert Systems / Rule Engines

Structured Implementation Plan