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School of something FACULTY OF OTHER School of Computing FACULTY OF ENGINEERING UMAP 2010 Big Island - Hawai.

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Presentation on theme: "School of something FACULTY OF OTHER School of Computing FACULTY OF ENGINEERING UMAP 2010 Big Island - Hawai."— Presentation transcript:

1 School of something FACULTY OF OTHER School of Computing FACULTY OF ENGINEERING UMAP 2010 Big Island - Hawai

2 Workshops & Tutorials Adaptive Collaboration Support Adaptation in Social and Semantic Web - SASweb 2010 Evaluation of Adaptive Systems - Tutorials

3 Discussion-based workshop - The idea was to bring together people who work in different aspects of collaboration support Supporting group formation with the purpose of effective collaboration - Liana Razmerita, Copenhagen Business School, Denmark Algorithm design for group formation What properties are important when forming a group Homogeneous Vs Heterogeneous groups of students in terms of knowledge level How can these properties be represented in computational methods Supporting groups of people with disabilities to work together How can UMAP techniques inform computational methods in collaborative organisational building for people with disabilities? What aspects need to be considered when forming groups with different abilities Adaptive Collaboration Support Alexandros Paramythis and Stavros Demetriadis

4 SASWeb 2010 – Adaptation in Social and Semantic Web Personalised Information Retrieval – retrieve more relevant results for users personal information needs Providing support for personalised customer care Collaborative Tagging – The basic level effect SOBOLEO software – users collaboratively tag bookmarks and use them to build a shared vocabulary Basic Level Advantage – describe a preferred level of taxonomic abstraction when classifying objects of the real world Not strong conclusive results on the effect of the basic level. SASWeb 2010 Carlo Tasso, Federica Cena, Antonina Dattolo,Styliani Kleanthous, David Bueno Vallejo and Julita Vassileva

5 Social Networking - SoCConnect retrieves users friends information and their activities on different SN sites – managing friend, rating friends, rating friends and activities, and personalised recommendations of activities. Evaluation – What features are important for users in order to see what personalised recommendation features are more important. Trust and Reputation in multiple social networking systems – presented a model for computing trust and reputation. Building a Trust & Reputation ontology. A long discussion on their approach to represent trust and reputation. Many did not agreed with the idea of a trust and reputation ontology Evaluation of Adaptive Systems – Tutorials Layered Evaluation – Handouts online

6 Interweaving Public User Profiles on the Web - Fabian Abel, Nicola Henze, Eelco Herder and Daniel Krause What are the benefits of aggregating public user profile traces available on the web? Users reveal different types of facets in different social systems Solving the cold-start problem Modelling Long-Term Search Engine Usage – R. White, A. Kapoor and S. Dumais Modelling user behaviours and determine key variables that affect search engine usage Knowledge of key trends in engine usage and prediction of this usage are invaluable to the designers and marketers of search engines Analysis of Strategies for building Group Profiles – C. Senot, M. Bouzid, D. Kostadinov, J. Picault, C. Bernier, A. Aghasaryan How to select the right strategy? Which group recom. strategy provides the best results? Can we determine some factors that influence the choice of a group recom. strategy? Run preliminary evaluation on a real large-scale dataset of TV viewings. Main Conference - Day 1

7 Scaffolding Self-directed Learning with Personalised Learning Goal Recommendations – Tobias Lay, Barbara Kump, Cornelia Gerdenitsch APOSDLE – adaptive systems that follows the work-integrated learning approach supporting self directed learning at knowledge intensive workplaces Learning Goal Recommendation – Experimental Study effective learning goal recommendation can scaffold self directed learning and increase task performance. Yes!: Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities - Kasia Muldner, Winslow Burleson and Kurt VanLehn Eye –tracking and skin sensors Yes! always followed a correct solution step but a correct solution step was not always followed by a Yes! These moments occur after a challenge is overcome Information Retrieval and Text Mining - Mariam Daoud, Mohand Boughanem and Lynda Tamine-Lechani. A personalized graph-based document ranking model using a semantic user profile Main Conference - Day 1 Intelligent Tutoring Systems

8 Introspective Views: An Interface for Scrutinising Semantic User Models – Fedor Bakalov, Birgitta Konig-Ries, Andreas Naurez, Martin Welsch Visualisation of overlay user model representing user knowledge or interests Ontology behind, time also considered Doctoral Consortium Semantically-Enhanced Ubiquitous User Modelling – Till Plumbaum User Modelling Based on Emergent Domain Semantics – Marian Simko, Maria Bielikova Task-Based User Modelling for Knowledge Work Support – Charlie Abela, Chris Staff and Siegfried Handschuh Main Conference - Day 2

9 Main Conference - Day 3 Short Research Papers

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