eBay is pleased to announce its 3rd Annual University Challenge in the space of Machine Learning on an e-commerce dataset. Last year’s competition was a tremendous success, attracting 600 students from almost 200 universities. We want to thank everyone who participated!
As in the last two years, the prize for this year’s winners will be a summer internship with eBay (this time for the 2022 summer).
The problem statement we invite you to consider is how to build a model that can accurately predict delivery dates for items sold on eBay, given a dataset of pertinent shipping information. The accuracy of shipping estimates plays a significant role in providing a hassle-free and trusty customer experience. However, this particular area has not received enough attention within the machine learning community despite its growing importance in the new online world. We at eBay want to change that. More details can be found in the sections below.
After signing a contest agreement, university student teams can start using our dataset to solve a real-world ecommerce challenge. We sincerely hope that making this real-world dataset available will entice students to further explore the ecommerce domain and develop novel approaches to solve complex problems that can positively impact the community and industry at large.