Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach-Reference-Cited by-同舟云学术

Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach

Published:2017-08-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Mehrotra Rishabh¹,Yilmaz Emine²

Affiliation:

1. University College London, London, United Kingdom

2. University College London & Alan Turing Institute, London, United Kingdom

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3077136.3080823

Reference41 articles.

1. Search, interrupted

2. Query Recommendation Using Query Logs in Search Engines

3. Charles Blundell and Yee Whye Teh. 2013. Bayesian hierarchical community discovery. In Advances in Neural Information Processing Systems. 1601--1609. Charles Blundell and Yee Whye Teh. 2013. Bayesian hierarchical community discovery. In Advances in Neural Information Processing Systems. 1601--1609.

4. Towards context-aware search by learning a very large variable length hidden markov model from search logs

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