Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19
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Relevance Modeling with Multiple Query Variations

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19 ◽

10.1145/3341981.3344224 ◽

2019 ◽

Cited By ~ 1

Author(s):

Xiaolu Lu ◽

Oren Kurland ◽

J. Shane Culpepper ◽

Nick Craswell ◽

Ofri Rom

Keyword(s):

Multiple Query

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

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19 ◽

10.1145/3341981.3344221 ◽

2019 ◽

Cited By ~ 2

Author(s):

Sebastian Bruch ◽

Xuanhui Wang ◽

Michael Bendersky ◽

Marc Najork

Keyword(s):

Learning To Rank ◽

Cross Entropy ◽

Entropy Loss ◽

Binary Relevance

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Unsupervised Story Comprehension with Hierarchical Encoder-Decoder

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19 ◽

10.1145/3341981.3344227 ◽

2019 ◽

Author(s):

Bingning Wang ◽

Ting Yao ◽

Qi Zhang ◽

Jingfang Xu ◽

Kang Liu ◽

...

Keyword(s):

Story Comprehension

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Integrated Learning of Features and Ranking Function in Information Retrieval

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19 ◽

10.1145/3341981.3344232 ◽

2019 ◽

Author(s):

Yifan Nie ◽

Jiyang Zhang ◽

Jian-Yun Nie

Keyword(s):

Information Retrieval ◽

Ranking Function ◽

Integrated Learning

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Listwise Neural Ranking Models

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19 ◽

10.1145/3341981.3344245 ◽

2019 ◽

Author(s):

Razieh Rahimi ◽

Ali Montazeralghaem ◽

James Allan

Keyword(s):

Ranking Models

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Sentence Retrieval for Entity List Extraction with a Seed, Context, and Topic

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19 ◽

10.1145/3341981.3344250 ◽

2019 ◽

Cited By ~ 1

Author(s):

Sheikh Muhammad Sarwar ◽

John Foley ◽

Liu Yang ◽

James Allan

Keyword(s):

Sentence Retrieval

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Deep Learning of Human Information Foraging Behavior with a Search Engine

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19 ◽

10.1145/3341981.3344231 ◽

2019 ◽

Cited By ~ 1

Author(s):

Xi Niu ◽

Xiangyu Fan

Keyword(s):

Deep Learning ◽

Search Engine ◽

Foraging Behavior ◽

Information Foraging

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MAISoN 2019

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19 ◽

10.1145/3341981.3350529 ◽

2019 ◽

Author(s):

Marcelo G. Armentano ◽

Ebrahim Bagheri ◽

Julia Kiseleva ◽

Frank W. Takes

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Generalising Kendall's Tau for Noisy and Incomplete Preference Judgements

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19 ◽

10.1145/3341981.3344246 ◽

2019 ◽

Author(s):

Riku Togashi ◽

Tetsuya Sakai

Keyword(s):

Kendall’S Tau ◽

Kendall's Tau ◽

Incomplete Preference

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Neural Document Expansion with User Feedback

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19 ◽

10.1145/3341981.3344213 ◽

2019 ◽

Author(s):

Yue Yin ◽

Chenyan Xiong ◽

Cheng Luo ◽

Zhiyuan Liu

Keyword(s):

User Feedback

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Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM Press

Relevance Modeling with Multiple Query Variations

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

Unsupervised Story Comprehension with Hierarchical Encoder-Decoder

Integrated Learning of Features and Ranking Function in Information Retrieval

Listwise Neural Ranking Models

Sentence Retrieval for Entity List Extraction with a Seed, Context, and Topic

Deep Learning of Human Information Foraging Behavior with a Search Engine

MAISoN 2019

Generalising Kendall's Tau for Noisy and Incomplete Preference Judgements

Neural Document Expansion with User Feedback

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19
Latest Publications