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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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Journal ArticleDOI
TL;DR: A comprehensive user profiling, incorporating the User Perceptual Preference Characteristics, is introduced that serves as the core element for filtering Web-based raw content and initial experimental results applied on the Educational field are presented.

71 citations

01 Jan 2000
TL;DR: This paper investigates a way of implementing the implicit feedback technique of user modeling for the Powerize Server 1.0 by conducting two experiments and shows that reading time could be used to predict the relevancy of documents, although the threshold on reading time required to detect relevant documents would be higher than for USENET news articles.
Abstract: Powerize Server 1.0, developed by Powerize.com, is a content-based information filtering and retrieval system that presently uses a manually constructed user model known as a search profile. User modeling captures a user’s information needs. A user model can be constructed explicitly by the user or implicitly by exploiting feedback from the user about which documents are relevant. Implicit feedback can be inferred from user behavior without any additional work on the part of the user. The study reported in this paper investigates a way of implementing the implicit feedback technique of user modeling for the Powerize Server 1.0. Previous studies on Internet discussion groups (USENET news) have shown reading time to be a useful source of implicit feedback for predicting a user’s preferences. In this study, we examined: 1) whether reading time is useful for predicting a user’s preferences for academic or professional journal articles, and 2) whether printing behavior adds anything to what we already know from reading time. Two experiments were conducted with undergraduate students using professional articles from the telecommunications and pharmaceutical industries. The results of the experiments showed that reading time could be used to predict the relevancy of documents, although the threshold on reading time required to detect relevant documents would be higher than for USENET news articles. The experiments also showed that printing behavior adds to what can be inferred from reading time. All the documents that were printed in the experiments were relevant, but the reading time for many of these documents was below the mean reading time for all documents read. This result implies that the use of printing behavior with reading time could increase the precision and recall ratios for detecting relevant documents. Suggestions for incorporating the results of the study into the Powerize Server were made in conclusion. This paper also reports detailed technical descriptions of the experiment design, including research problem, experimental system, and data collection.

71 citations

Book ChapterDOI
25 Jul 2007
TL;DR: This paper investigates the possibility of exploiting the user tagging activity in order to infer knowledge about the user, and investigates the relation between tagging and user modeling.
Abstract: Social tagging is a kind of social annotation by which users label resources, typically web objects, by means of keywords with the goal of sharing, discovering and recovering them. In this paper we investigate the possibility of exploiting the user tagging activity in order to infer knowledge about the user. Up to now the relation between tagging and user modeling seems not to have been investigated in depth. Given the widespread diffusion of web tools for collaborative tagging, it is interesting to understand how user modeling can benefit from this feedback.

71 citations

Patent
18 Aug 2003
TL;DR: In this article, a computer system including a master entitlement processor for storing user information, such as user passwords and access permissions, and a user computer system for allowing a user to operate an application in accordance with the user information corresponding to the user.
Abstract: A computer system including a master entitlement processor for storing user information, such as user passwords and access permissions, and a user computer system for allowing a user to operate an application in accordance with the user information corresponding to the user. The user computer system preferably includes a plurality of server computers organized into an enterprise including a plurality of domains. Two-way communication between the master entitlement processor and the server computers facilitates accurate storage, reliable access and easy modification of the user information. Organization of the server computers into domains allows good fault tolerance and robust failover and failback operations through static and dynamic loadbalancing.

71 citations

Patent
11 Aug 2003
TL;DR: In this article, a system and method for effectively implementing a dynamic user interface in an electronic network may include a user interface application that is configured to generate user interface upon a display of a user device in the electronic network.
Abstract: A system and method for effectively implementing a dynamic user interface in an electronic network may include a user interface application that is configured to generate a user interface upon a display of a user device in the electronic network. The user interface application may generate a main widget for controlling and utilizing various types of system functionality through the user interface. The user interface application may further dynamically generate a connect widget for performing network communications procedures between the user device and one or more buddy devices in the electronic network. The user interface application may also dynamically generate an alert widget for providing various types of system alert messages to a device user.

71 citations


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