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User modeling

About: User modeling is a research topic. Over the lifetime, 10701 publications have been published within this topic receiving 278012 citations.


Papers
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Patent
01 Apr 2005
TL;DR: In this paper, a method, system, apparatus, and computer program product are presented to support computing systems of different enterprises that interact within a federated computing environment, where federated single-sign-on operations can be initiated at the computing system of federation partners on behalf of a user even though the user has not established a user account at a federation partner prior to the initiation of the single sign-on operation.
Abstract: A method, system, apparatus, and computer program product are presented to support computing systems of different enterprises that interact within a federated computing environment. Federated single-sign-on operations can be initiated at the computing systems of federation partners on behalf of a user even though the user has not established a user account at a federation partner prior to the initiation of the single-sign-on operation. For example, an identity provider can initiate a single-sign-on operation at a service provider while attempting to obtain access to a controlled resource on behalf of a user. When the service provider recognizes that it does not have a linked user account for the user that allows for a single-sign-on operation with the identity provider, the service provider creates a local user account. The service provider can also pull user attributes from the identity provider as necessary to perform the user account creation operation.

160 citations

Patent
01 May 2007
TL;DR: In this paper, a method and apparatus for utilizing user behavior to immediately modify sets of search results so that the most relevant documents are moved to the top of the search results is presented.
Abstract: A method and apparatus for utilizing user behavior to immediately modify sets of search results so that the most relevant documents are moved to the top. In one embodiment of the invention, behavior data, which can come from virtually any activity, is used to infer the user's intent. The updated inferred implicit user model is then exploited immediately by re-ranking the set of matched documents to best reflect the information need of the user. The system updates the user model and immediately re-ranks documents at every opportunity in order to constantly provide the most optimal results. In another embodiment, the system determines, based on the similarity of results sets, if the current query belongs in the same information session as one or more previous queries. If so, the current query is expanded with additional keywords in order to improve the targeting of the results.

159 citations

Book ChapterDOI
29 May 2002
TL;DR: The paper describes the architecture, design and implementation of Personis, a user model server, and indicates that the approach and implementation provide a workable server for small to medium sized user collections of information needed to adapt the hypertext.
Abstract: A core element of an adaptive hypertext systems is the user model. This paper describes Personis, a user model server. We describe the architecture, design and implementation. We also describe the way that it is intended to operate in conjunction with the rest of an adaptive hypertext system.A distinctive aspect of the Personis user model server follows from our concern for making adaptive systems scrutable: these enable users to see the details of the information held about them, the processes used to gather it and the way that it is used to personalise an adaptive hypertext. We describe how the architecture supports this.The paper describes our evaluations of the current server. These indicate that the approach and implementation provide a workable server for small to medium sized user collections of information needed to adapt the hypertext.

159 citations

Journal ArticleDOI
TL;DR: This paper concentrates on Doppelgänger's learning techniques and their implementation in an application-independent, sensor-independent environment.
Abstract: Doppelganger is a generalized user modeling system that gathers data about users, performs inferences upon the data, and makes the resulting information available to applications.Doppelganger's learning is calledheterogeneous for two reasons: first, multiple learning techniques are used to interpret the data, and second, the learning techniques must often grapple with disparate data types. These computations take place at geographically distributed sites, and make use of portable user models carried by individuals. This paper concentrates onDoppelganger's learning techniques and their implementation in an application-independent, sensor-independent environment.

159 citations

Patent
15 Mar 2013
TL;DR: In this article, a system and method for providing feedback for a transportation service is described, and a rating user interface can be provided after completion of a service, in response to a user's providing a rating for the transportation service.
Abstract: A system and method are described for providing feedback for a transportation service. A rating user interface can be provided after completion of a service. In response to a user's providing a rating for the transportation service, additional rating features can be provided as part of the rating user interface. If the rating is equal to or higher than a predetermined level, the user may be enabled to share positive aspects of the service with other people. If the rating is below the predetermined level, the user may be enabled to indicate categories which the user was dissatisfied with.

157 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202327
202269
2021150
2020167
2019194
2018216