Michael Bendersky

发表

A Stochastic Treatment of Learning to Rank Scoring Functions

Shuguang Han, Sebastian Bruch, Michael Bendersky, 2020, WSDM.

Interpretable Learning-to-Rank with Generalized Additive Models pdf

Michael Bendersky, Honglei Zhuang, Yonghui Wu, 2020, ArXiv.

An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance

Sebastian Bruch, Michael Bendersky, Marc Najork, 2019, ICTIR.

Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach pdf

Michael Bendersky, Marc Najork, Mingyang Zhang, 2020, ArXiv.

Permutation Equivariant Document Interaction Network for Neural Learning to Rank

Michael Bendersky, Marc Najork, Honglei Zhuang, 2020, ICTIR.

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching

Liu Yang, Michael Bendersky, Marc Najork, 2020, CIKM.

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching pdf

Liu Yang, Michael Bendersky, Marc Najork, 2020, ArXiv.

Offline Comparison of Ranking Functions using Randomized Data pdf

Michael Bendersky, Marc Najork, Aman Agarwal, 2018, ArXiv.

Feature Transformation for Neural Ranking Models

Michael Bendersky, Marc Najork, Honglei Zhuang, 2020, SIGIR.

Multi-Task Learning for Personal Search Ranking with Query Clustering

Michael Bendersky, Jiaming Shen, Maryam Karimzadehgan, 2018 .

Addressing Trust Bias for Unbiased Learning-to-Rank

Michael Bendersky, Marc Najork, Aman Agarwal, 2019, WWW.