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IEEE ICDM 2013 Data Mining competition: Expedia


The 2013 contest is focused on utilizing a large hotel search data set to rank search results as a means to increase sales. $25K in prizes will be awarded. Submissions due Nov 4.



ExpediaIEEE ICDM 2013 Data Mining Competition:
Personalize Expedia Hotel Searches

The IEEE International Conference on Data Mining (ICDM), is pleased to announce its annual Data Mining competition, chaired by Prof. Nitesh Chawla of University of Notre Dame and Prof. Suresh Venkatasubramanian of University of Utah. The Data Mining competition runs for two months and final entries are due on November 4, 2013. Contestants may download content and make a submission via the Kaggle platform:

https://www.kaggle.com/c/expedia-personalized-sort.

This year's contest is focused on utilizing a large hotel search data set to rank search results as a means to increase sales. Submissions should aim to best predict the optimal order of displaying results for an online hotel search based on some of the following criteria: hotel attributes, customer purchase history and price competitiveness.

The top teams will be invited to write a report on their strategies and algorithms, which will be be presented and discussed at a dedicated workshop during the IEEE ICDM Conference on December 7th. Additionally, $25,000 in prizes will be awarded to three teams who best address the data mining challenge. This year's contest is sponsored by Expedia, the world's largest online travel agency, which is providing the data set for the challenge as well as the prizes.


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