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CC22-HO01-TravelokaSigapore-HotelRanks/Hotel-Recommendation-Research

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Hotel Recommendation Research

This is our Notebooks on researching to create a hotel recommendation. That next will be implemented to create an endpoint for Cloud Computing Division can be use. There are 5 notebooks:

  1. Database Connection: To check a how can we connect our environment with Cloud Computing Databases
  2. Hotel Sentiment User Collaborative Ranking: Recommendation Based on Similarity Sentiment Review with Other User Using Sentiment Colaborative Filtering.
  3. Hotel Similarities: Recommendation based on Similarity Hotel features.
  4. Near Your Location: Recommendation Based on the User’s and Hotel’s Location.
  5. Trending Recommendation System: Recommendation based on its Trendiness.

CC22-HO01 ML Teams.

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A research of our recommendation systems.

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