All the conference session are online and will be replicated with a time shift of +10 hours. Depending on your time zone, you may prefer following the conference sessions starting from 2:00 PM (UTC 0) or 12:00 AM (UTC 0) (day +1).
Interactions between Inter- and Intra-Individual Effects on Gaze Behavior By: Christiane Wiebel-Herboth, Matti Krüger, Martina Hasenjaeger
Designing with AI for Digital Marketing By: Moumita Sinha, Jennifer Healey, Tathagata Sengupta
You’ve Got a Friend in Me: Children and Search Agents By: Monica Landoni, Emiliana Murgia, Theo Huibers, Maria S. Pera
Developing a Patient-Therapist-Robot User Model for Motivation in Neurorehabilitation Therapies By: Alexandru Bundea
Personality Traits, Speech and Adaptive In-Vehicle Voice Output By: Daniela Stier, Katherine Munro, Ulrich Heid, Wolfgang Minker
OPIAS: Over-Personalization in Information Access Systems By: Pınar Barlas, Kyriakos Kyriakou, Antrea Chrysanthou, Styliani Kleanthous, Jahna Otterbacher
An Analysis of Transfer Learning Methods for Multilingual Readability Assessment By: Ion Madrazo, Maria S. Pera
A Personalised Intervention Model for Improving the Effectiveness of Driving-Behaviour Apps By: Jawwad Baig
Do the Urgent Things first! – Detecting Urgency in Spoken Utterances based on Acoustic Features By: Jakob Landesberger, Ute Ehrlich
Exploring the Prediction of Personality Traits from Drug Consumption Profiles By: Bruce Ferwerda, Marko Tkalcic
A User Training Error based Correction Approach combined with the Synthetic Coordinate Recommender System By: Costas Panagiotakis, Harris Papadakis, Paraskevi Fragopoulou
Cross-Game Modeling of Player’s Behaviour in Free-To-Play Games By: Andrej Vítek
16:30 – 18:00 (UTC 0)
NOT REPLICATED
16:30 – 17:00 Poster Interaction 1a
Interactions between Inter- and Intra-Individual Effects on Gaze Behavior By: Christiane Wiebel-Herboth, Matti Krüger, Martina Hasenjaeger
Designing with AI for Digital Marketing By: Moumita Sinha, Jennifer Healey, Tathagata Sengupta
You’ve Got a Friend in Me: Children and Search Agents By: Monica Landoni, Emiliana Murgia, Theo Huibers, Maria S. Pera
Developing a Patient-Therapist-Robot User Model for Motivation in Neurorehabilitation Therapies By: Alexandru Bundea
17:00 – 17:30 Poster Interaction 1b
Personality Traits, Speech and Adaptive In-Vehicle Voice Output By: Daniela Stier, Katherine Munro, Ulrich Heid, Wolfgang Minker
OPIAS: Over-Personalization in Information Access Systems By: Pınar Barlas, Kyriakos Kyriakou, Antrea Chrysanthou, Styliani Kleanthous, Jahna Otterbacher
An Analysis of Transfer Learning Methods for Multilingual Readability Assessment By: Ion Madrazo, Maria S. Pera
A Personalised Intervention Model for Improving the Effectiveness of Driving-Behaviour Apps By: Jawwad Baig
17:30 – 18:00 Poster Interaction 1c
Do the Urgent Things first! – Detecting Urgency in Spoken Utterances based on Acoustic Features By: Jakob Landesberger, Ute Ehrlich
Exploring the Prediction of Personality Traits from Drug Consumption Profiles By: Bruce Ferwerda, Marko Tkalcic
A User Training Error based Correction Approach combined with the Synthetic Coordinate Recommender System By: Costas Panagiotakis, Harris Papadakis, Paraskevi Fragopoulou
Cross-Game Modeling of Player’s Behaviour in Free-To-Play Games By: Andrej Vítek
18:00 – 18:30 BREAK
04:00 – 04:30 BREAK
Time slot 1 – 18:30 (UTC 0)
Time slot 2 – 04:30 (+1) (UTC 0)
Session 4: RecSys 1
Time slot 1 Chair: Ludovico Boratto
Time slot 2 Chair: Robin Burke
Paper no. 11
Modeling Tourists’ Personality in Recommender Systems: How Does Personality Influence Preferences for Tourist Attractions?
By: Patrícia Alves, Pedro Saraiva, João Carneiro, Pedro Campos, Helena Martins, Paulo Novais and Goreti Marreiros
A Decentralized Recommendation Engine in the Social Internet of Things By: Daniel Defiebre, Dimitris Sacharidis, Panagiotis Germanakos
Keeping up with the Influencers: Improving User Recommendation in Instagram using Visual Content By: Marco Bertini, Andrea Ferracani, Riccardo Papucci, Alberto D. Bimbo
Challenges, Strategies and Adaptations on Interactive Dashboards By: Mohammed Alhamadi
The Impact of Adaptation Based on Students’ Dyslexia Type: An Empirical Evaluation of Students’ Satisfaction By: Weam Alghabban, Robert Hendley
A Stable Personalised Partner Selection for Collaborative Privacy Education By: Rita Yusri, Adel Abusitta, Esma Aïmeur
Exploring the Need for Transparency in Educational Recommender Systems By: Jordan Barria-Pineda
Fairness and Diversity in Social-Based Recommender Systems By: Dimitris Sacharidis, Carine Kuza, Hannes Werthner
Visualizing Personalized Multifaceted ad-hoc Social Network By: Saeed Amal, Mustafa Adam, Peter Brusilovsky, Zef Segal, Einat Minkov, Tsvi Kuflik
Best Practices for Transparency in Machine Generated Personalization By: Laura Schelenz, Avi Segal, Kobi Gal
Exploring Personalized University Ranking and Recommendation By: Mehdi Elahi, Nabil E. Ioini, Anna A. Lambrix, Mouzhi Ge
Getting to Know Your Neighbors (KYN). Explaining Similarity in Nearest Neighbors Collaborative Filtering Recommendations By: Joanna Misztal-Radecka, Bipin Indurkhya
Towards Generating Personalized Country Recommendation By: Ayoub E. Majjodi, Mehdi Elahi, Nabil E. Ioini, Christoph Trattner
16:30 – 18:00 (UTC 0)
NOT REPLICATED
16:30 – 17:00 Poster interaction 2a
A Decentralized Recommendation Engine in the Social Internet of Things By: Daniel Defiebre, Dimitris Sacharidis, Panagiotis Germanakos
Keeping up with the Influencers: Improving User Recommendation in Instagram using Visual Content By: Marco Bertini, Andrea Ferracani, Riccardo Papucci, Alberto D. Bimbo
Challenges, Strategies and Adaptations on Interactive Dashboards By: Mohammed Alhamadi
The Impact of Adaptation Based on Students’ Dyslexia Type: An Empirical Evaluation of Students’ Satisfaction By: Weam Alghabban, Robert Hendley
17:00 – 17:30 Poster interaction 2b
Exploring the Need for Transparency in Educational Recommender Systems By: Jordan Barria-Pineda
Visualizing Personalized Multifaceted ad-hoc Social Network By: Saeed Amal, Mustafa Adam, Peter Brusilovsky, Zef Segal, Einat Minkov, Tsvi Kuflik
Fairness and Diversity in Social-Based Recommender Systems By: Dimitris Sacharidis, Carine Kuza, Hannes Werthner
A Stable Personalised Partner Selection for Collaborative Privacy Education By: Rita Yusri, Adel Abusitta, Esma Aïmeur
17:30 – 18:00 Poster interaction 2c
Best Practices for Transparency in Machine Generated Personalization By: Laura Schelenz, Avi Segal, Kobi Gal
Exploring Personalized University Ranking and Recommendation By: Mehdi Elahi, Nabil E. Ioini, Anna A. Lambrix, Mouzhi Ge
Getting to Know Your Neighbors (KYN). Explaining Similarity in Nearest Neighbors Collaborative Filtering Recommendations By: Joanna Misztal-Radecka, Bipin Indurkhya
Towards Generating Personalized Country Recommendation By: Ayoub E. Majjodi, Mehdi Elahi, Nabil E. Ioini, Christoph Trattner
18:00 – 18:30 BREAK
04:00 – 04:30 BREAK
Time slot 1 – 18:30 (UTC 0)
Time slot 2 – 04:30 (+1) (UTC 0)
Session 8: RecSys 3
Time slot 1 Chair: Marko Tkalcic
Time slot 2 Chair: Robin Burke
Paper no. 177
Recency Aware Collaborative Filtering for Next Basket Recommendation
By: Guglielmo Faggioli, Mirko Polato and Fabio Aiolli
Time slot 1 Presenter Guglielmo Faggioli, Mirko Polato
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