Some Practice for Improving the Search Results of E-commerce

Fanyou Wu; Yang Liu; Rado Gazo; Benes Bedrich; Xiaobo Qu

Some Practice for Improving the Search Results of E-commerce

Information Retrieval 2022-08-02 v1 Artificial Intelligence

Authors: Fanyou Wu , Yang Liu , Rado Gazo , Benes Bedrich , Xiaobo Qu

Abstract

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.

Keywords

e-commerce search natural language processing search result quality kdd cup user engagement

Cite

@article{arxiv.2208.00108,
  title  = {Some Practice for Improving the Search Results of E-commerce},
  author = {Fanyou Wu and Yang Liu and Rado Gazo and Benes Bedrich and Xiaobo Qu},
  journal= {arXiv preprint arXiv:2208.00108},
  year   = {2022}
}

Comments

Submitted to Amazon KDD Cup 2022 workshop

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