Some Practice for Improving the Search Results of E-commerce
Wu, Fanyou, Liu, Yang, Gazo, Rado, Bedrich, Benes, Qu, Xiaobo
–arXiv.org Artificial Intelligence
Substitute (S): the item is somewhat relevant: it fails to fulfill some aspects of the query, but the item can be used as In the Amazon KDD Cup 2022, we aim to apply natural language a functional substitute; processing methods to improve the quality of search results that can Complement (C): the item does not fulfill the query but significantly enhance user experience and engagement with search could be used in combination with an exact item; engines for e-commerce. We discuss our practical solution for this Irrelevant (I): the item is irrelevant, or it fails to fulfill a competition, ranking 6th in task one, 2nd in task two, and 2nd in central aspect of the query.
arXiv.org Artificial Intelligence
Jul-29-2022
- Country:
- Asia > China
- North America > United States
- Indiana > Tippecanoe County
- Lafayette (0.05)
- West Lafayette (0.05)
- Indiana > Tippecanoe County
- South America > Chile
- Genre:
- Research Report (0.50)
- Industry:
- Information Technology > Services > e-Commerce Services (0.72)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning (1.00)
- Natural Language (0.89)
- Information Management > Search (0.71)
- e-Commerce (0.86)
- Artificial Intelligence
- Information Technology