Personalize Expedia Hotel Searches(Kaggle Competition)

Date

May 04, 2017

Category
Business, Classification, Data Analysis, Decision Tree, Hospitality, Kaggle, Model Building, Python, R, Random Forest, Travel

Personalize Expedia Hotel Searches(Kaggle Competition)

The original data set is obtained from Kaggle.com and consists of a representative sample of 99,917,530 hotels. Also, 52 features are included, such as: price, user history, competitors, etc.

  1. The booking rate is 2.74%.
  2. The click-through-rate is 4.44%
  3. The conversion rate is 61.6 %
0 Likes

Related Projects

Classification, Collaborative Filtering, Data Analysis, Data Visualization, Decision Tree, K-Means, LDA, Matrix Factorization, Model Building, PCA, Python, Random Forest, Yelp