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Subject = personalization;
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Displaying Results 1 - 24 of 24 on page 1 of 1
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Towards Multilingual User Models for Personalized Multilingual Information Retrieval
(2011)
GHORAB, MOHAMMED RAMI ELHUSSEIN; ZHOU, DONG; STEICHEN, BEN; WADE, VINCENT PATRICK
Towards Multilingual User Models for Personalized Multilingual Information Retrieval
(2011)
GHORAB, MOHAMMED RAMI ELHUSSEIN; ZHOU, DONG; STEICHEN, BEN; WADE, VINCENT PATRICK
Abstract:
The majority of studies in Personalized Information Retrieval (PIR) literature have focused on monolingual IR, and only relatively little work has been done concerning multilingual IR. In this paper we propose a novel method to represent user models in a multilingual fashion. We argue that such representation would be more suitable for Personalized Multilingual Information Retrieval (PMIR). Furthermore, we outline two algorithms for query adaptation based on user information from the multilingual user model.
http://hdl.handle.net/2262/63759
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Evaluation of a Domain-Aware Approach to User Model Interoperability
(2012)
WALSH, EDMOND; WADE, VINCENT PATRICK; WALSH, EDDIE; O'CONNOR, ALEXANDER
Evaluation of a Domain-Aware Approach to User Model Interoperability
(2012)
WALSH, EDMOND; WADE, VINCENT PATRICK; WALSH, EDDIE; O'CONNOR, ALEXANDER
http://hdl.handle.net/2262/65744
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The CULTURA Portal: Exploring Cultural Treasures
(2013)
LAWLESS, SEAMUS; CONLAN, OWEN; HAMPSON, CORMAC
The CULTURA Portal: Exploring Cultural Treasures
(2013)
LAWLESS, SEAMUS; CONLAN, OWEN; HAMPSON, CORMAC
Abstract:
This paper introduces the CULTURA system which is pioneering the next generation of online tools for interacting with the cultural treasures of Eu- rope. An overview of the architecture is presented which highlights some of the key features of the CULTURA environment. This is accompanied by a brief description of the intended workflow of both the user and the services. A live version of the portal can be found at http://cultura-project.eu
http://hdl.handle.net/2262/67967
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A knowledge management application to support knowledge sharing in a design engineering community
(2003)
Donnellan, Brian; Fitzgerald, Brian
A knowledge management application to support knowledge sharing in a design engineering community
(2003)
Donnellan, Brian; Fitzgerald, Brian
Abstract:
The changing competitive landscape has brought new forces to bear on the manner in which new products are developed. These forces have put the creation and dissemination of knowledge at the centre of many firms’ new product development (NPD) strategies. Organizational models to support NPD have evolved over the years and a significant aspect of this evolution has been the emergence of organizations that are decentralized and distributed across the globe. Improvements in communication infrastructure have facilitated this trend. These new organizational forms have placed stresses and strains on firm’s ability to efficiently transfer knowledge across its organization units and it has been observed that knowledge dissemination can run aground once organization unit boundaries are encountered. A small number of empirical analyses of knowledge management systems (KMS) applications to support new product development have been done. These analyses have pointed to a dual requirement in this ...
http://hdl.handle.net/10344/3321
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An approach for training decision making competences in a multi-modal online environment
(2015)
Nussbaumer, Alexander; Steiner, Christina M.; McCarthy, Nora; Dwane, Simon; Neville, Ka...
An approach for training decision making competences in a multi-modal online environment
(2015)
Nussbaumer, Alexander; Steiner, Christina M.; McCarthy, Nora; Dwane, Simon; Neville, Karen; O'Riordan, Sheila; Albert, Dietrich
Abstract:
In this paper, we describe an approach for training decision making competences in emergency situations with the help of a multi-modal online environment. Decision making is an essential aspect of emergency management and a successful response to an emergency situation highly depends on whether decisions are being taken in an effective and timely manner. For this reason effective training programs are needed, in order to guarantee that emergency managers respond adequately to disasters. This paper addresses these needs by outlining and structuring the competences required for making meaningful decisions and by presenting an approach on how these competences can be trained in an online environment.
http://hdl.handle.net/10468/8356
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Assessing efficiency of prompts based on earner characteristics
(2017)
Backhaus, Joy; Jeske, Debora; Poinstingl, Herbert; Koenig, Sarah
Assessing efficiency of prompts based on earner characteristics
(2017)
Backhaus, Joy; Jeske, Debora; Poinstingl, Herbert; Koenig, Sarah
Abstract:
Personalized prompting research has shown the significant learning benefit of prompting. The current paper outlines and examines a personalized prompting approach aimed at eliminating performance differences on the basis of a number of learner characteristics (capturing learning strategies and traits). The learner characteristics of interest were the need for cognition, work effort, computer self-efficacy, the use of surface learning, and the learner’s confidence in their learning. The approach was tested in two e-modules, using similar assessment forms (experimental n = 413; control group n = 243). Several prompts which corresponded to the learner characteristics were implemented, including an explanation prompt, a motivation prompt, a strategy prompt, and an assessment prompt. All learning characteristics were significant correlates of at least one of the outcome measures (test performance, errors, and omissions). However, only the assessment prompt increased test performance. On ...
http://hdl.handle.net/10468/4082
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Automatic Metadata Mining from Multilingual Enterprise Content
(2012)
WADE, VINCENT; SAH, MELIKE
Automatic Metadata Mining from Multilingual Enterprise Content
(2012)
WADE, VINCENT; SAH, MELIKE
Abstract:
Personalization is increasingly vital especially for enterprises to be able to reach their customers. The key challenge in supporting personalization is the need for rich metadata, such as metadata about structural relationships, subject/concept relations between documents and cognitive metadata about documents (e.g. difficulty of a document). Manual annotation of large knowledge bases with such rich metadata is not scalable. As well as, automatic mining of cognitive metadata is challenging since it is very difficult to understand underlying intellectual knowledge about document automatically. On the other hand, the Web content is increasing becoming multilingual since growing amount of data generated on the Web is non-English. Current metadata extraction systems are generally based on English content and this requires to be revolutionized in order to adapt to the changing dynamics of the Web. To alleviate these problems, we introduce a novel automatic metadata extraction framework,...
http://hdl.handle.net/2262/62420
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Increasing and Decreasing Perceived Bias by Distorting the Quality of News Website Design
(2018)
Spillane, Brendan; Wade, Vincent; Lawless, S?amus
Increasing and Decreasing Perceived Bias by Distorting the Quality of News Website Design
(2018)
Spillane, Brendan; Wade, Vincent; Lawless, S?amus
Abstract:
News website design has previously been shown to impact perceived credibility, and one of its core dimensions and measures, bias. This paper demonstrates that by adapting the quality of the visual presentation of webpages from nine of the most popular news websites, to reflect high quality and low quality news agencies, we can predicatively increase or decrease perceived bias in the news articles they contain. This effect was common across the websites of traditional print, news magazine, and international news agencies, and across articles with different levels of bias. The distortions focused on the visual quality of a websites? design, including the amount, size, and prominence of advertising, news article meta data, supporting material, gaudy calls to action, and the percentage of the webpage dedicated to the news article. Higher quality visual experiences reflecting quality news agencies were shown to reduce bias, while those with a low quality visual experience reflecting less...
http://hdl.handle.net/2262/92466
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Changes in the self-rated well-being of people who move from congregated settings to personalized arrangements and group home placements
(2018)
Garcia Iriarte, Edurne; McConkey, Roy; Keogh, Fiona; Bunting, Brendan
Changes in the self-rated well-being of people who move from congregated settings to personalized arrangements and group home placements
(2018)
Garcia Iriarte, Edurne; McConkey, Roy; Keogh, Fiona; Bunting, Brendan
Abstract:
A natural experiment contrasted the self-rated well-being of people with intellectual disabilities (n = 75) and those with enduring mental health problems (n = 44) after they moved to new accommodation and support options, while others remained in congregated settings or living in the family home. Most support staff also provided well-being ratings. In personalized arrangements, personal well-being was significantly higher than in congregated settings; particularly for people with intellectual disability who had higher support needs compared to people with mental health problems. Moving to a group home also brought some improvement in the well-being ratings of people with intellectual disability but only for those with higher support needs. Such moves seemed to lead to a decline in well-being for those with mental health problems. There were marked discrepancies between ratings given by the person with those of staff. The well-being measure shows promise for use in further comparati...
http://hdl.handle.net/2262/90064
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Enhanced Personalized Search using Social Data
(2016)
Lawless, Seamus
Enhanced Personalized Search using Social Data
(2016)
Lawless, Seamus
Abstract:
Search personalization that considers the social dimension of the web has attracted a significant volume of research in recent years. A user profile is usually needed to represent a user?s interests in order to tailor future searches. Previous research has typically constructed a profile solely from a user?s usage information. When the user has only limited activities in the system, the effect of the user profile on search is also constrained. This research addresses the setting where a user has only a limited amount of usage information. We build enhanced user profiles from a set of annotations and resources that users have marked, together with an external knowledge base constructed according to usage histories. We present two probabilistic latent topic models to simultaneously incorporate social annotations, documents and the external knowledge base. Our web search strategy is achieved using personalized social query expansion. We introduce a topical query expansion model to enha...
http://hdl.handle.net/2262/86857
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Current and alternate approaches to personalization in online learning
(2017)
Jeske, Debora; Bagher, Mammed; Pantidi, Nadia
Current and alternate approaches to personalization in online learning
(2017)
Jeske, Debora; Bagher, Mammed; Pantidi, Nadia
Abstract:
In the context of distance (online) learning programs, the current paper focuses on two specific goals. First, we outline how personalization based on learning analytics has been implemented in online programs offered by traditional universities, but also providers of MOOCs and virtual institutions. However, this established approach is not without its limitations. Second, we introduce two alternate concepts that may support personalization based on work around readability indices and job crafting. These approaches may also help to address some of the limitations of learning analytics. The emphasis is on how personalization may support the development of individual learning paths that would provide means for both self-pacing and co-construction of the experience. The paper concludes with a review of facilitating and challenging factors for program leaders, online technical staff and designers working in open educational contexts.
http://hdl.handle.net/10468/5062
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Enabling customized & personalized interfaces in mobile computing
(2013)
O'Grady, Michael J.; O'Hare, G. M. P. (Greg M. P.)
Enabling customized & personalized interfaces in mobile computing
(2013)
O'Grady, Michael J.; O'Hare, G. M. P. (Greg M. P.)
Abstract:
The 9th International Conference on Intelligent User Interfaces (IUI 2004), 13th-16th January, Island of Madeira, Portugal
Providing an intuitive and ubiquitous interface to those services aimed at the mobile computing community continues to preoccupy both service providers and certain sections of the research community. In this short paper, we present a snapshot of a system that is under ongoing development and reflect briefly on the initial results of some user evaluations. Based on these, we identify some critical problems with the current implementation and present a design orientated towards significantly improving the end user experience and making the interface more adaptable such that it meets the expectations and requirements of the user
Irish Research Council for Science, Engineering and Technology
kpw12/7/13
http://hdl.handle.net/10197/4438
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Engineering Information Systems towards facilitating Scrutable and Configurable Adaptation
(2008)
CONLAN, OWEN; KOIDL, KEVIN
Engineering Information Systems towards facilitating Scrutable and Configurable Adaptation
(2008)
CONLAN, OWEN; KOIDL, KEVIN
Abstract:
End users of Adaptive Hypermedia Systems (AHS) receive an experience that has been tailored towards their specific needs. Several AHS have produced favourable results showing benefits to the user experience [2]. However, the nature of AHS is that they tend to operate across a focused and fixed domain with a single body of content that is known a priori. This approach limits the user?s freedom to choose other information sources and restricts the potential impact an adaptive systems may have. To provide more flexibility several service orientated approaches extending traditional AHS architectures have been introduced. This Ph.D. work proposes the re-engineering of information systems in order to support the portability of adaptive services, thus enabling them to personalize any information system on behalf of the user. This approach espouses user empowerment through this mobility and through a highly scrutable and configurable approach to such service-oriented adaptation.
http://hdl.handle.net/2262/39167
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Improving the quality of the personalized electronic program guide
(2004)
O'Sullivan, Dermot; Wilson, David C.; Smyth, Barry; McDonald, Kieran; Smeaton, Ala...
Improving the quality of the personalized electronic program guide
(2004)
O'Sullivan, Dermot; Wilson, David C.; Smyth, Barry; McDonald, Kieran; Smeaton, Alan F.
Abstract:
As Digital TV subscribers are offered more and more channels, it is becoming increasingly difficult for them to locate the right programme information at the right time. The personalized Electronic Programme Guide (pEPG) is one solution to this problem; it leverages artificial intelligence and user profiling techniques to learn about the viewing preferences of individual users in order to compile personalized viewing guides that fit their individual preferences. Very often the limited availability of profiling information is a key limiting factor in such personalized recommender systems. For example, it is well known that collaborative filtering approaches suffer significantly from the sparsity problem, which exists because the expected item-overlap between profiles is usually very low. In this article we address the sparsity problem in the Digital TV domain. We propose the use of data mining techniques as a way of supplementing meagre ratings-based profile knowledge with additional...
http://doras.dcu.ie/204/
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Introducing ADELE: A personalized intelligent companion
(2017)
Wade, Vincent; Spillane, Brendan
Introducing ADELE: A personalized intelligent companion
(2017)
Wade, Vincent; Spillane, Brendan
Abstract:
This paper introduces ADELE, a Personalized Intelligent Companion designed to engage with users through spoken dialog to help them explore topics of interest. The system will maintain a user model of information consumption habits and preferences in order to (1) personalize the user?s experience for ongoing interactions, and (2) build the user-machine relationship to model that of a friendly companion. The paper details the overall research goal, existing progress, the current focus, and the long term plan for the project.
http://hdl.handle.net/2262/86855
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Using Psychometric Approaches in the Modeling of Abstract Cognitive Skills for Personalization, Lifelong User Modelling Workshop
(2009)
CONLAN, OWEN; MACARTHUR, VICTORIA
Using Psychometric Approaches in the Modeling of Abstract Cognitive Skills for Personalization, Lifelong User Modelling Workshop
(2009)
CONLAN, OWEN; MACARTHUR, VICTORIA
Abstract:
?Learning to learn? is the informal phrase often used to describe the acquisition of abstract cognitive skills such as metacognition and social cognition. Current personalization approaches within Adaptive Learning Systems typically support cognitive gain without explicitly enhancing such key skills. This paper compares the acquisition of two metacognitive factors, planning and information management strategies, between learners who have eLearning experience and those who have not. Such complimentary skills should be fostered alongside learning activities in order to ground their relevance and applicability in a genuine learning experience. This paper presents an exploration of how psychometric approaches, which are used to study and measure human cognition, may be utilized to better model and facilitate the learner?s acquisition of abstract cognitive skills. Specifically, it presents the modeling and organization of mental structures according to schema theory and the development o...
http://hdl.handle.net/2262/39170
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Measuring Bias in News Websites, Towards a Model for Personalization
(2017)
Spillane, Brendan; Wade, Vincent; Lawless, S?amus
Measuring Bias in News Websites, Towards a Model for Personalization
(2017)
Spillane, Brendan; Wade, Vincent; Lawless, S?amus
Abstract:
This poster briefly elucidates on a crowdsourced exploratory study demonstrating the impact of common features of news websites' design on perceived bias. Type of news website, user characteristics, and the overall design, were shown to impact on perceived bias. The poster also reports the results of a novel method to validate and extend the initial results through comparative reevaluation. These confirmed the initial results and revealed additional significant findings. Lastly, the paper proposes a model of bias for personalizing news websites.
http://hdl.handle.net/2262/92469
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Multilingual User Modeling for Personalized Re-ranking of Multilingual Web Search Results
(2012)
GHORAB, MOHAMMED RAMI; ZHOU, DONG; LAWLESS, SEAMUS; WADE, VINCENT PATRICK
Multilingual User Modeling for Personalized Re-ranking of Multilingual Web Search Results
(2012)
GHORAB, MOHAMMED RAMI; ZHOU, DONG; LAWLESS, SEAMUS; WADE, VINCENT PATRICK
Abstract:
This paper proposes a novel method to represent user models in a multilingual manner which caters for multilingual Web search users. Furthermore, an evaluation is presented which examines a result re-ranking algorithm that is based upon that model.
http://hdl.handle.net/2262/67234
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Personalized retrieval in social bookmarking
(2009)
Bateman, Scott; Muller, Michael J.; Freyne, Jill
Personalized retrieval in social bookmarking
(2009)
Bateman, Scott; Muller, Michael J.; Freyne, Jill
Abstract:
Presented at the 2009 ACM SIGCHI international conference on supporting group work, May 10–13 2009, Sanibel Island, Florida
Users of social bookmarking systems take advantage of pivot browsing, an interaction technique allowing them to easily refine lists of bookmarks through the selection of filter terms. However, social bookmarking systems use onesizefitsall ranking metrics to order refined lists. These generic rankings ignore past user interactions that may be useful in determining the relevance of bookmarks. In this work we describe a personalized ordering algorithm that leverages the fact that refinding, rather than discovery (finding a bookmark for the first time), makes up the majority of bookmark accesses. The algorithm examines useraccess histories and promotes bookmarks that a user has previously visited. We investigate the potential of our algorithm using interaction logs from an enterprise social bookmarking system, the results show that our personalized algorithm wo...
http://hdl.handle.net/10197/1249
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Supporting Personalised Information Exploration through Subjective Expert-created Semantic Attributes
(2009)
HAMPSON, CORMAC; CONLAN, OWEN
Supporting Personalised Information Exploration through Subjective Expert-created Semantic Attributes
(2009)
HAMPSON, CORMAC; CONLAN, OWEN
Abstract:
Ordinary users are finding it increasingly difficult to explore the large volumes of diverse data they encounter in their everyday lives. Techniques based on data mining algorithms are useful but they tend to be too complex for casual users to work with effectively. Furthermore, these techniques don?t allow the user to engage with the information using semantics meaningful to them. Semantically enriched and personalized data exploration is seen as an essential step to support such users. Moreover, by allowing these users to leverage and personalize the subjective insights and knowledge of experts, more relevant and useful information can be discovered and interesting correlations drawn. In order to support these domain specific explorations, a prototype architecture named SARA (Semantic Attribute Reconciliation Architecture) has been built, and its underlying methodology, implementation and initial evaluation are described within this paper.
http://hdl.handle.net/2262/34170
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Taking the sweetness out of the ‘share a coke’ marketing campaign: the influence of personalized labelling on elementary school children's bottled drink choices
(2018)
McDarby, F.; O'Hora, Denis; O'Shea, D.; Byrne, M.
Taking the sweetness out of the ‘share a coke’ marketing campaign: the influence of personalized labelling on elementary school children's bottled drink choices
(2018)
McDarby, F.; O'Hora, Denis; O'Shea, D.; Byrne, M.
Abstract:
BackgroundDrink personalization (featuring names on bottle labels) has been used by soft drink companies to make their drinks attractive to children, potentially increasing consumption. To date, no publically available research has evaluated the influence of personalization on children's drink choices. ObjectivesTo determine (i) whether personalizing bottled drinks influences children's drink choices; (ii) whether it is comparably effective in promoting healthy and unhealthy drinks and (iii) whether drink choices are affected by self-esteem, body mass index and parental factors. MethodsChildren aged 8-13years (N=404) were randomly assigned to one of three drink labeling conditions: Prime Healthy, Prime Unhealthy and Control. All participants selected one beverage from 12 options, comprising six healthy and unhealthy drinks. ResultsPersonalizing healthy drinks increased choice of healthy drinks (OR, 2.21; 95% CI, 1.24-4.00), and personalizing unhealthy drinks reduced choice...
http://hdl.handle.net/10379/12743
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The performance of recommender systems in online shopping: a user-centric study
(2018)
Dabrowski, Maciej; Acton, Thomas
The performance of recommender systems in online shopping: a user-centric study
(2018)
Dabrowski, Maciej; Acton, Thomas
http://hdl.handle.net/10379/11012
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Utilization of social breadcrumbs for user profiling in personalization
(2015)
Younus, Arjumand
Utilization of social breadcrumbs for user profiling in personalization
(2015)
Younus, Arjumand
Abstract:
Personalization efforts aim to alleviate the ``information overload" problem in an attempt to help users address their information needs in the best way possible. An increasing number of systems that employ personalization have cropped up in recent past with even well-known commercial giants targeting their efforts towards enhanced personalization within their services e.g. Amazon product recommendations, Netflix movie recommendations, Google Now etc. A fundamental building block of any personalization attempt is the user model that powers it. User modelling has remained a theme central within the broad research area of personalization with most traditional sources for user modelling being controversial in nature on account of the loss of privacy associated with them. With the advent of the Social Web, a paradigm shift has occurred in the way content is generated on the Web leading it to become an online gathering point for the masses. Users now leave traces of their online exp...
http://hdl.handle.net/10379/5308
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Why I like it: Multi-task Learning for Recommendation and Explanation
(2019)
Lu, Yichao;; Dong, Ruihai; Smyth, Barry
Why I like it: Multi-task Learning for Recommendation and Explanation
(2019)
Lu, Yichao;; Dong, Ruihai; Smyth, Barry
Abstract:
RecSys '18: 12th ACM Conference on Recommender Systems, Vancouver, BC, 2–7 October 2018
We describe a novel, multi-task recommendation model, which jointly learns to perform rating prediction and recommendation explanation by combining matrix factorization, for rating prediction, and adversarial sequence to sequence learning for explanation generation. The result is evaluated using real-world datasets to demonstrate improved rating prediction performance, compared to state-of-the-art alternatives, while producing effective, personalized explanations.
Science Foundation Ireland
Insight Research Centre
http://hdl.handle.net/10197/10892
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