Some Practice for Improving the Search Results of E-commerce
This work addresses search result quality for e-commerce users, but it is incremental as it applies existing methods to a competition setting.
The authors tackled the problem of improving search result quality in e-commerce by applying natural language processing methods, achieving rankings of 6th in task one, 2nd in task two, and 2nd in task three in the Amazon KDD Cup 2022 competition.
In the Amazon KDD Cup 2022, we aim to apply natural language processing methods to improve the quality of search results that can significantly enhance user experience and engagement with search engines for e-commerce. We discuss our practical solution for this competition, ranking 6th in task one, 2nd in task two, and 2nd in task 3. The code is available at https://github.com/wufanyou/KDD-Cup-2022-Amazon.