This paper introduces the approaches we have used to participate in the WSDM Cup 2023 Task 1: Unbiased Learning to Rank. In brief, we have attempted a combination of both traditional IR models and transformer-based cross-encoder architectures. To further enhance the ranking performance, we also considered a series of features for learning to rank. As a result, we won 2nd place on the final leaderboard.

翻译：本文介绍了我们参与WSDM杯2023任务一（无偏学习排序）所采用的方法。简而言之，我们尝试将传统信息检索模型与基于Transformer的交叉编码器架构相结合。为进一步提升排序性能，我们还考虑了学习排序所需的一系列特征。最终，我们在最终排行榜上获得了第二名。