Results 211 to 220 of about 15,574 (255)
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2006
Web usage models and profiles capture significant interests and trends from past accesses. They are used to improve user experience, say through recommendation of pages, pre-fetching of pages, etc. While browsing behavior changes dynamically over time, many web usage modeling techniques are static due to prohibitive model compilation times and also ...
Bhushan Shankar Suryavanshi +2 more
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Web usage models and profiles capture significant interests and trends from past accesses. They are used to improve user experience, say through recommendation of pages, pre-fetching of pages, etc. While browsing behavior changes dynamically over time, many web usage modeling techniques are static due to prohibitive model compilation times and also ...
Bhushan Shankar Suryavanshi +2 more
openaire +1 more source
The adaptability of Career Decision-Making Profiles.
Journal of Counseling Psychology, 2012The Career Decision-Making Profiles questionnaire (CDMP; Gati, Landman, Davidovitch, Asulin-Peretz, & Gadassi, 2010) uses a new model for characterizing the way individuals make decisions based on the simultaneous use of 11 dimensions. The present study investigated which pole of each dimension is more adaptive.
Reuma, Gadassi +2 more
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2009
A major opportunity for collaborative knowledge management is the construction of user models which can be exploited to provide relevant, personalized, and context-sensitive information delivery. Yet traditional approaches to user profiles rely on explicit, brittle models that go out of date very quickly, lack relevance, and have few natural ...
Steve Cayzer, Elke Michlmayr
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A major opportunity for collaborative knowledge management is the construction of user models which can be exploited to provide relevant, personalized, and context-sensitive information delivery. Yet traditional approaches to user profiles rely on explicit, brittle models that go out of date very quickly, lack relevance, and have few natural ...
Steve Cayzer, Elke Michlmayr
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Profile Adaptation in Adaptive Information Filtering: An Immune Inspired Approach
2009 International Conference of Soft Computing and Pattern Recognition, 2009Within the context of information filtering, learning and adaptation of user profiles is a challenging research area and is, in part, addressed by work in Adaptive Information Filtering (AIF). In order to be effective in a dynamic context, maintaining filtering performance, information filtering systems need to adapt to changes.
Nurulhuda Firdaus Mohd Azmi +2 more
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A Generic User Profile Adaptation Framework
2010The paper presents a recommender system that permits to manage user preferences using linguistic criteria and, after collecting information about selections made by the user, it performs an unsupervised adaptation of the user profile. It has been implemented as a Web application and designed in a generic way so that it can be applied to any decision ...
Lucas Marin, David Isern, Antonio Moreno
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Information navigation profiles for mediation and adaptation
International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II, 2005Information retrieval (IR) systems offer a variety of interfaces and interaction modes. A given IR system's interface and interaction mode may not be optimal for a given accessing device/network pair, or desired by a given user. In this paper we propose a set of attributes to characterize IR interfaces, interaction and presentation modes. We call a set
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An Adaptive Method for User Profile Learning
2013The user profile is a key element in several systems which provide adapted result to the user. Thus, for a better quality of response and to satisfy the user, the profile's content must always be pertinent. So, the removal of irrelevant content is necessary. In this way, we propose in this paper a semi-supervised learning based method for automatically
Rim Zghal Rebaï +3 more
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Profiling-as-a-Service: Adaptive Scalable Resource Profiling for the Cloud in the Cloud
2011Runtime profiling of Web-based applications and services is an effective method to aid in the provisioning of required resources, for monitoring service-level objectives, and for detecting implementation defects. Unfortunately, it is difficult to obtain accurate profile data on live client workloads due to the high overhead of instrumentation.
Kaviani, Nima +2 more
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Consolidating diverse user profiles based on the profile models of adaptive systems
Proceedings of the 2014 ACM SIGCHI symposium on Engineering interactive computing systems, 2014Profile-based adaptivity is an important ingredient of interactive systems. Today, although users keep many profiles in different applications, adaptive systems still request them explicitly. While lingua franca methods on profiles are suggested, unless standardized, they are hardly deployed by different vendors.
Effie Karuzaki, Anthony Savidis
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Adaptive random testing through test profiles
Software: Practice and Experience, 2011SUMMARYRandom testing (RT), which simply selects test cases at random from the whole input domain, has been widely applied to test software and assess the software reliability. However, it is controversial whether RT is an effective method to detect software failures.
Huai Liu +4 more
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