Behavior Sequence Transformer Applied on SERP Evaluation and Model Interpretation

Authors: X Dong, S Shen, J Jia, L Yu, Y Wang, P Zhang
Time: 2022
Journal: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)

Abstract

We present a Behavior Sequence Transformer (BST) approach for Search Engine Results Page (SERP) evaluation and model interpretation, enabling better understanding of search result rankings.

Keywords: behavior sequence, SERP, transformer, information retrieval

Citation

X Dong, S Shen, J Jia, L Yu, Y Wang, P Zhang, "Behavior Sequence Transformer Applied on SERP Evaluation and Model Interpretation," 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022.