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Titlebook: UM99 User Modeling; Proceedings of the S Judy Kay Conference proceedings 1999 Springer-Verlag Wien 1999 Dialog Management.Hypermedia Naviga

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發(fā)表于 2025-3-21 19:46:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱UM99 User Modeling
副標(biāo)題Proceedings of the S
編輯Judy Kay
視頻videohttp://file.papertrans.cn/941/940058/940058.mp4
叢書(shū)名稱CISM International Centre for Mechanical Sciences
圖書(shū)封面Titlebook: UM99 User Modeling; Proceedings of the S Judy Kay Conference proceedings 1999 Springer-Verlag Wien 1999 Dialog Management.Hypermedia Naviga
描述User modeling researchers look for ways of enabling interactive software systems to adapt to their users-by constructing, maintaining, and exploiting user models, which are representations of properties of individual users. User modeling has been found to enhance the effectiveness and/or usability of software systems in a wide variety of situations.Techniques for user modeling have been developed and evaluated by researchers in a number of fields, including artificial intelligence, education, psychology, linguistics, human-computer interaction, and information science. The biennial series of International Conferences on User Modeling provides a forum in which academic and industrial researchers from all of these fields can exchange their complementary insights on user modeling issues. The published proceedings of these conferences represent a major source of information about developments in this area.
出版日期Conference proceedings 1999
關(guān)鍵詞Dialog Management; Hypermedia Navigation; Information Retrieval; Interface Adaption; Machine Learning; ar
版次1
doihttps://doi.org/10.1007/978-3-7091-2490-1
isbn_softcover978-3-211-83151-9
isbn_ebook978-3-7091-2490-1Series ISSN 0254-1971 Series E-ISSN 2309-3706
issn_series 0254-1971
copyrightSpringer-Verlag Wien 1999
The information of publication is updating

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發(fā)表于 2025-3-21 23:35:25 | 只看該作者
https://doi.org/10.1007/978-3-7091-2490-1Dialog Management; Hypermedia Navigation; Information Retrieval; Interface Adaption; Machine Learning; ar
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UM99 User Modeling978-3-7091-2490-1Series ISSN 0254-1971 Series E-ISSN 2309-3706
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發(fā)表于 2025-3-22 12:18:53 | 只看該作者
Building User and Expert Models by Long-Term Observation of Application Usagenal topics. The new user model is based on observing the individual’s behavior in a natural environment over a long period of time, while the new expert model is based on pooling the knowledge of numerous individuals. Individualized instructional topics are selected by comparing an individual’s knowledge to the pooled knowledge of her peers.
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發(fā)表于 2025-3-22 18:27:11 | 只看該作者
Using Plan Recognition in Human-Computer Collaborationrchical plans, and the possibility of asking for clarification. We demonstrate how the addition of our plan recognition algorithm to an implemented collaborative system reduces the amount of communication required from the user.
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發(fā)表于 2025-3-22 23:57:26 | 只看該作者
User Lenses — Achieving 100% Precision on Frequently Asked Questionse performance on training data while not degrading test data performance, and that larger lenses result in nearly perfect performance on the training set. The lens provides a mechanism for automatically capturing long-term, user-specific information about an improved representation scheme for document vectors.
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發(fā)表于 2025-3-23 01:37:15 | 只看該作者
The Application of User Modeling Techniques to Reason about the Human Contribution to Major Accidentper argues that user modeling techniques can help to improve our understanding of operator interaction in the lead-up to accidents and incidents. This argument is illustrated by a “near miss” that occurred when two Air Traffic Controllers failed to coordinate the arrival and departure of aircraft at Heathrow Airport on the 27. August 1997.
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發(fā)表于 2025-3-23 08:31:25 | 只看該作者
Patterns of Search: Analyzing and Modeling Web Query Refinementian networks that predict search behavior, with a focus on the progression of queries over time. We review a methodology for abstracting and tagging user queries. After presenting key statistics on query length, query frequency, and informational goals, we describe user models that capture the dynamics of query refinement.
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