Results 251 to 260 of about 2,863,408 (296)
Some of the next articles are maybe not open access.
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 Yet traditional approaches to user profiles rely on explicit, brittle models that go out of date very quickly, lack relevance, and have few natural ...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
openaire +1 more source
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 Yet traditional approaches to user profiles rely on explicit, brittle models that go out of date very quickly, lack relevance, and have few natural ...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
openaire +1 more source
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
openaire +2 more sources
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
openaire +1 more source
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
openaire +1 more source
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
openaire +2 more sources
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
openaire +2 more sources
Immune Inspired Adaptive Information Filtering: Focusing on Profile Adaptation
2012This paper explores approaches to Adaptive Information Filtering (AIF) in the context of changing user interests. Based on the existing artificial immune system for email classification (AISEC), we demonstrate an effective extension to classification based on the body of emails.
Nurulhuda Firdaus Mohd Azmi +2 more
openaire +1 more source
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
openaire +2 more sources
Enhancing learner experience with the mechanism of adaptive profile
2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA), 2016The notion of profile and style preferences are the kernel of adaptive and personalized learning system. To personalize learner path during online courses, several parameters must be taken into account such as his background and his professional experience.
Fimoud Ikhlass +2 more
openaire +2 more sources
Adaptive User Profiles in Pervasive Advertising Environments
2009Nowadays modern advertising environments try to provide more efficient ads by targeting costumers based on their interests. Various approaches exist today as to how information about the users' interests can be gathered. Users can deliberately and explicitly provide this information or user's shopping behaviors can be analyzed implicitly.
Florian Alt +7 more
openaire +1 more source