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Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval ,
1
Can Query Expansion Improve Generalization of Strong Cross-..:
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Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval ,
2
A Setwise Approach for Effective and Highly Efficient Zero-..:
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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ,
3
Towards Disentangling Relevance and Bias in Unbiased Learni..:
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Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval ,
4
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses:
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Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ,
5
Rax: Composable Learning-to-Rank Using JAX:
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Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval ,
6
Stochastic Retrieval-Conditioned Reranking:
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Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval ,
7
Revisiting Two-tower Models for Unbiased Learning to Rank:
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Proceedings of the 14th ACM International Conference on Web Search and Data Mining ,
8
Interpretable Ranking with Generalized Additive Models:
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Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining ,
9
Bootstrapping Recommendations at Chrome Web Store:
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Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval ,
11
Ensemble Distillation for BERT-Based Ranking Models:
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Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval ,
12
Joint Aspect-Sentiment Analysis with Minimal User Guidance:
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2020 IEEE International Conference on Data Mining (ICDM) ,
13
Mining Text Outliers in Document Directories:
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Proceedings of the 13th International Conference on Web Search and Data Mining ,
14
Separate and Attend in Personal Email Search:
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Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval ,
15
Feature Transformation for Neural Ranking Models:
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