The Demo and Poster Reception (Tuesday, 11th June) features innovative research ideas, preliminary results, system prototypes, industry showcases, late-breaking results and project presentations through poster and demos submitted to the UMAP conference at the corresponding tracks and workshops.
To acknowledge the authors’ effort in designing their posters and/or setting up their demos, we invite the audience to vote for the best posters and demos.
During the reception, between 16:30 and 18:30, UMAP attendees can cast their votes. At the end of the reception, the box will be opened and the winners will be announced. They will receive a certificate during the Social Dinner.
These are the awards that UMAP participants can vote for:
- Best Poster Design: select the poster you like most the visual design and information distribution.
- Most Participative Demo: select the demo in which you felt more engaged when interacting with it.
- Most Inspiring Contribution (either demo or poster): select the contribution which has given you the more interesting research idea to be taken into account in further research.
2013 Best Poster Design: “Semantic Technologies as Enabler for Distributed Adaptive Hyperlink Generation“Authors: Ruben Verborgh, Mathias Verhoeven, Erik Mannens, Rik Van de Walle
2013 Most Participative Demo: “Modelling Users’ Affect in Job Interviews: Technological Demo“Authors: Kaska Porayska-Pomsta, Keith Anderson, Ionut Damian, Tobias Baur, Elisabeth André, Sara Bernardini, Paola Rizzo
2013 Most Inspiring Contribution: “Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles“Authors: Fedelucio Narducci, Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco De Gemmis
Below is the list of candidate Posters and Demos for the Awards. They are ordered alphabetically by title.
Poster Awards candidates:
P-1: Board Recommendation in Pinterest
Authors: Krishna Kamath, Ana-Maria Popescu, James Caverlee
P-2: Creating Personalized City Tours Using the CHIP Prototype
Authors: Natalia Stash, Loes Veldpaus, Paul De Bra, and Ana Pereira Rodeirs
P-3: Crowdsourced Evaluation of Semantic Patterns for Recommendations
Authors: Valentina Maccatrozzo, Lora Aroyo, Willem Robert Van Hage
P-4: Eliciting Affective Recommendations to Support Distance Learning Students
Authors: Angeles Manjarrés-Riesco, Olga C. Santos, Jesus G. Boticario
P-5: Encountering the Unexpected: Influencing User Experience through Surprise
Authors: Alice Gross, Manfred Thüring
P-6: Generating a Personalized UI for the Car: A User-adaptive Rendering Architecture
Authors: Michael Feld, Gerrit Meixner, Angela Mahr, Marc Seissler, Balaji Kalyanasundaram
P-7: Information Retrieval and User-Centric Recommender System Evaluation
Authors: Alan Said, Alejandro Bellogín, Arjen De Vries, Benjamin Kille
P-8: Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles
Authors: Fedelucio Narducci, Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco De Gemmis
P-9: LinkedUp – Linking Web Data for Adaptive Education
Authors: Eelco Herder, Stefan Dietze, Mathieu D’Aquin
P-10: The Meaning behind Smileys – an Affect self report Tool based on Empirical Data
Authors: Adam Moore, Christina M. Steiner, Owen Conlan
P-11: Mining Top Users in Pinterest Categories
Authors: Ana-Maria Popescu, Krishna Kamath, James Caverlee
P-12: Modeling Emotions with Social Tags
Authors: Ignacio Fernandez-Tobias, Laura Plaza, Iván Cantador
P-13: Modelling Users’ Affect in Job Interviews: Technological Demo
Authors: Kaska Porayska-Pomsta, Keith Anderson , Ionut Damian, Tobias Baur, Elisabeth André, Sara Bernardini, Paola Rizzo
P-14: Multilingual vs. Monolingual User Models for Personalized Multilingual Information Retrieval
Authors: M.Rami Ghorab, Séamus Lawless, Alexander O’Connor, Dong Zhou, Vincent Wade
P-15: Personality-Based Recommendation in E-Commerce
Authors: Ciro Bologna, Anna Chiara De Rosa, Alfonso De Vivo, Matteo Gaeta, Giuseppe Sansonetti, Valeria Viserta
P-16: Personalized Cultural Heritage Experience outside the Museum: Connecting the outside world to the museum experience
Authors: Alan J. Wecker, Tsvi Kuflik, Oliviero Stock
P-17: A Prismatic Cognitive Layout For Adapting Ontologies
Authors: Francesco Osborne, Alice Ruggeri
P-18: RES: a Personalized Filtering Tool for CiteSeerX Queries based on Keyphrase Extraction
Authors: Dario De Nart, Felice Ferrara, Carlo Tasso
P-19: A Quantitative Approach for Modelling and Personalizing Player Experience in First-Person Shooter Games
Authors: Noor Shaker, Mohammad Shaker, Ismaeel Abu-Abdallah, Mehdi Al-Zengi, Mohammad Hasan Sarhan
P-20: Semantic Technologies as Enabler for Distributed Adaptive Hyperlink Generation
Authors: Ruben Verborgh, Mathias Verhoeven, Erik Mannens, Rik Van de Walle
P-21: Tabbed Browsing Behavior as a Source for User Modeling
Authors: Martin Labaj, Mária Bieliková
P-22: techplay.mobi: A Technological Framework for Developing Affective Inclusive Personalized Mobile Serious Games to Enrich Learning Competences
Authors: Olga C. Santos, Mar Saneiro, Emmanuelle Gutiérrez Y Restrepo, Jesus G. Boticario, Elena Del Campo, Raúl Cabestrero, Pilar Quirós, Sergio Salmeron-Majadas, Emmanuelle Raffenne, Emanuela Mazzone
P-23: Term extraction for user profiling: evaluation by the user
Authors: Suzan Verberne, Maya Sappelli, Wessel Kraaij
P-24: Topolor: A Social Personalized Adaptive E-Learning System
Authors: Lei Shi, Dana Al Quadh, Alaa Qaffas, Alexandra Cristea
P-25: Understanding the Temporal Dynamics of Recommendations across different Rating Scales
Authors: Paula Cristina Vaz, Ricardo Ribeiro, David Martins de Matos
P-26: Unfolding cultural, educational and scientific long-tail content in the Web
Authors: Michael Granitzer, Christin Seifert, Silvia Russegger, Klaus Tochtermann
P-27: Unobtrusive monitoring of knowledge workers for stress self-regulation
Authors: Saskia Koldijk, Maya Sappelli, Mark Neerincx, Wessel Kraaij
P-28: Utilizing Social Networks for User Model Priming: User Attitudes
Authors: Adam Moore, Gudrun Wesiak Christina M. Steiner, Claudia Hauff, Declan Dagger, Gary Donohoe, Owen Conlan
Demo Awards candidates:
D-1: Creating Personalized City Tours Using the CHIP Prototype
Authors: Natalia Stash, Loes Veldpaus, Paul De Bra, and Ana Pereira Rodeirs
D-2: Gathering Affective Data for Inclusive Personalized e-Learning.
Authors: Olga C. Santos, Sergio Salmerón-Majadas, Jesús G. Boticario, Pilar Quirós, Raúl Cabestrero, Mar Saneiro, Ángeles Manjarrés-Riesco, Alejandro Rodriguez-Ascaso, Emmanuelle Raffenne, Emmanuelle Gutiérrez y Restrepo, Emanuela Mazzone
D-3: LinkedUp Demo: Cite4Me – Semantic Retrieval and Analysis of Scientific Publications
Authors: Bernardo Pereira Nunes, Besnik Fetahu, Marco Antonio Casanova, Eelco Herder, Stefan Dietze, Mathieu D’Aquin
D-4: Modelling Users’ Affect in Job Interviews: Technological Demo.
Authors: Kaska Porayska-Pomsta, Keith Anderson, Ionut Damian, Tobias Baur, Elisabeth André, Sara Bernardini, Paola Rizzo
D-5: RES: a Personalized Filtering Tool for CiteSeerX Queries based on Keyphrase Extraction
Authors: Dario De Nart, Felice Ferrara, Carlo Tasso
D-6: Scrutable User Models and Personalized Item Recommendation in Mobile Lifestyle Applications
Authors: Rainer Wasinger, James Wallbank, Luiz Pizzato, Judy Kay, Bob Kummerfeld, Matthias Böhmer, Antonio Krüger
D-7: ViewS Microscope: Semantic exploration of group viewpoints from social content
Authors: Dimoklis Despotakis, Vania Dimitrova, Lydia Lau, Dhavalkumar Thakker
D-8: Semantic Technologies as Enabler for Distributed Adaptive Hyperlink Generation
Authors: Ruben Verborgh, Mathias Verhoeven, Erik Mannens, Rik Van de Walle
D-9: Term extraction for user profiling
Authors: Suzan Verberne, Maya Sappelli, Wessel Kraaij
