Tourism-Recommendation

• Proposed system enhances user experience by providing a recommendation in travel domain more specifically for food, hotel and travel places to provide user with various sets of options like time based, nearby places, rating based, user personalized suggestions, etc.M RECOMMENDATION METHODS: • Near-by Recommendation Algorithm - KNN Algorithm • Rating based and Price based Recommendation Algorithm - K-Means algorithm • User personalized recommendation Algorithm - Classification - Decision tree using Gini index • Time based Recommendation Algorithm - Using Data Mining Technology - Python, Django Framework, ML Algorithms, Graphlab Ipython (For Proof of Concept). Maintained by shr1911 on GitHub, where it has earned 50 stars from the community.

It's actively developed around recommender-system, travel, tourism-recommendation, and is a solid reference for anyone building with these tools.