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Topic taxonomy adaptation for group profiling
ACM Transactions on Knowledge Discovery from Data, 2008A topic taxonomy is an effective representation that describes salient features of virtual groups or online communities. A topic taxonomy consists of topic nodes. Each internal node is defined by its vertical path (i.e., ancestor and child nodes) and its horizonal list of attributes (or terms).
Lei Tang 0001 +4 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 Yet traditional approaches to user profiles rely on explicit, brittle models that go out of date very quickly, lack relevance, and have few natural ...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 Yet traditional approaches to user profiles rely on explicit, brittle models that go out of date very quickly, lack relevance, and have few natural ...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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Adaptive Transferred-profile Likelihood Learning
2016 International Joint Conference on Neural Networks (IJCNN), 2016The recent success of representation learning is built upon the learning of relevant features, in particular from unlabelled data available in different domains. This raises the question of how to transfer and reuse such knowledge effectively so that the learning of a new task can be made easier or be improved.
Son Ngoc Tran, Artur S. d'Avila Garcez
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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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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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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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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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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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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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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
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