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arXiv · 2303.04710

Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank

Haitao Li·Jia Chen·Weihang Su·Qingyao Ai·Yiqun Liu
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Abstract

This paper describes the approach of the THUIR team at the WSDM Cup 2023 Pre-training for Web Search task. This task requires the participant to rank the relevant documents for each query. We propose a new data pre-processing method and conduct pre-training and fine-tuning with the processed data. Moreover, we extract statistical, axiomatic, and semantic features to enhance the ranking performance. After the feature extraction, diverse learning-to-rank models are employed to merge those features. The experimental results show the superiority of our proposal. We finally achieve second place in this competition.

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Haitao Li, Jia Chen, Weihang Su, Qingyao Ai, Yiqun Liu. 2023-02-28. Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank. https://arxiv.org/abs/2303.04710

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