August 9, 2022
eBay is pleased to announce its 4th Annual University Challenge in the space of Machine Learning on an e-commerce dataset. The 2021 competition was a tremendous success, attracting over 800 students from 169 colleges and universities. We want to thank everyone who participated!
As in the last three years, the prize for this year’s winners will be a summer internship with eBay (this time for the 2023 summer).
The problem we invite you to consider for this year is to build a model that can accurately extract and label the named entities in the dataset of item titles on eBay. Named Entities are the semantic strings/words/phrases that refer to people, brands, organizations, locations, styles, materials, patterns, product names, units of measure, clothing sizes, etc.
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.
Application deadline: October 10, 2022, 8:00 AM
Seasonal role: (5/8/23 – 9/29/23)
US work authorization: Will sponsor a work visa and accept OPT/CPT