검색어 : 통합검색[Information retrieval interaction]
총 2,590건 중 1,000건 출력
, 92/100 페이지
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911
- Identifying and Predicting the States of Complex Search Tasks
- Liu, Jiqun; Sarkar, Shawon; Shah, Chirag; Rutgers University, New Brunswick, NJ, USA; University of Washington, Seattle, WA, USA; University of Washington, Seattle, WA, USA; (Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, v.2020, 2020, pp.193-202)
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912
- Towards Search Strategies for Better Privacy and Information
- Zimmerman, Steven; Thorpe, Alistair; Chamberlain, Jon; Kruschwitz, Udo; University of Essex, Colchester, United Kingdom; University of Essex, Colchester, United Kingdom; University of Essex, Colchester, United Kingdom; Universitä t Regensburg, Regensburg, Germany; (Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, v.2020, 2020, pp.124-134)
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913
- An Exploratory Study on Young Children's Picture Book Information Representation : From the Perspective of Information Searching
- Ma, Yue; Wang, Pianran; Lu, Jinyi; Nankai University, Tianjin, China; Nankai University, Tianjin, China; Nankai University, Tianjin, China; (Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, v.2020, 2020, pp.368-372)
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914
- Enabling Predictive Number Entry and Editing on Touchscreen-Based Mobile Devices
- Pandey, Laxmi; Alizadeh, Azar; Arif, Ahmed Sabbir; University of California, Merced, Merced, CA, USA; University of California, Merced, Merced, CA, USA; University of California, Merced, Merced, CA, USA; (Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, v.2020, 2020, pp.13-22)
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915
- Step-wise Recommendation for Complex Task Support
- Nouri, Elnaz; Sim, Robert; Fourney, Adam; White, Ryen W.; Microsoft Research, Redmond, WA, USA; Microsoft Research, Redmond, WA, USA; Microsoft Research, Redmond, WA, USA; Microsoft Research, Redmond, WA, USA; (Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, v.2020, 2020, pp.203-212)
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916
- Vroom! : A Search Engine for Sounds by Vocal Imitation Queries
- Zhang, Yichi; Hu, Junbo; Zhang, Yiting; Pardo, Bryan; Duan, Zhiyao; University of Rochester, Rochester, NY, USA; University of Rochester, Rochester, NY, USA; Georgia Institute of Technology, Atlanta, GA, USA; Northwestern University, Evanston, IL, USA; University of Rochester, Rochester, NY, USA; (Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, v.2020, 2020, pp.23-32)
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917
- Conversational Agents for Recipe Recommendation
- Barko-Sherif, Sabrina; Elsweiler, David; Harvey, Morgan; University of Regensburg, Regensburg, Germany; University of Regensburg, Regensburg, Germany; Northumbria University, Newcastle upon Tyne, United Kingdom; (Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, v.2020, 2020, pp.73-82)
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918
- Conversations with Documents: An Exploration of Document-Centered Assistance
- ter Hoeve, Maartje; Sim, Robert; Nouri, Elnaz; Fourney, Adam; de Rijke, Maarten; White, Ryen W.; University of Amsterdam, Amsterdam, Netherlands; Microsoft Research, Redmond, WA, USA; Microsoft Research, Redmond, WA, USA; Microsoft Research, Redmond, WA, USA; University of Amsterdam, Amsterdam, Netherlands; Microsoft Research, Redmond, WA, USA; (Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, v.2020, 2020, pp.43-52)
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919
- Capturing Information Behaviour in the Wild : A Tutorial
- McKay, Dana; Buchanan, George; University of Melbourne, Melbourne, VIC, Australia; University of Melbourne, Melbourne, VIC, Australia; (Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, v.2020, 2020, pp.475-476)
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920
- Dancing with the AI Devil : Investigating the Partnership Between Lawyers and AI
- Mikhail, Mary; Roegiest, Adam; Anello, Karen; Wei, Winter; Kira Systems, Toronto, ON, Canada; Kira Systems, Toronto, ON, Canada; Kira Systems, Philadelphia, PA, USA; University of Toronto, Toronto, ON, Canada; (Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, v.2020, 2020, pp.397-401)
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