Predicting the Topic of Your Next Query for Just-In-Time IR-Reference-Cited by-同舟云学术

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Predicting the Topic of Your Next Query for Just-In-Time IR

Published:2019 Issue: Volume: Page:261-275
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Bahrainian Seyed Ali,Zarrinkalam Fattane,Mele Ida,Crestani Fabio

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-15712-8_17

Reference28 articles.

1. Agichtein, E., White, R.W., Dumais, S.T., Bennet, P.N.: Search, interrupted: understanding and predicting search task continuation. In: Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012, pp. 315–324 (2012)

2. Aliannejadi, M., Harvey, M., Costa, L., Pointon, M., Crestani, F.: Understanding Mobile Search Task Relevance and User Behaviour in Context. In: CHIIR 2019 (2018)

3. Aliannejadi, M., Zamani, H., Crestani, F., Croft, W.B.: In situ and context-aware target apps selection for unified mobile search. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pp. 1383–1392 (2018)

4. Bahrainian, S.A., Crestani, F.: Towards the next generation of personal assistants: systems that know when you forget. In: Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, pp. 169–176 (2017)

5. Lecture Notes in Computer Science;SA Bahrainian,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Entity Footprinting: Modeling Contextual User States via Digital Activity Monitoring;ACM Transactions on Interactive Intelligent Systems;2024-04-22

2. Understanding Mobile Search Task Relevance and User Behaviour in Context;Proceedings of the 2019 Conference on Human Information Interaction and Retrieval;2019-03-08

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