Mehdi Elahi

Anastasiia Klimashevskaia

Inf. Process. Manag., 2022

Responsible media technology and AI: challenges and research directions.

[BibT_eX]

[DOI]

AI Ethics, 2022

Towards responsible media recommendation.

[BibT_eX]

[DOI]

AI Ethics, 2022

MORS 2022: The Second Workshop on Multi-Objective Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

News Images in MediaEval 2022.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Capacity-Based Trust System in Untrusted MEC Environments.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Internet of Things: Systems, 2022

Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches.

[BibT_eX]

[DOI]

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022

2021

From Trustworthy Data to Trustworthy IoT: A Data Collection Methodology Based on Blockchain.

[BibT_eX]

[DOI]

ACM Trans. Cyber Phys. Syst., 2021

Investigating the impact of recommender systems on user-based and item-based popularity bias.

[BibT_eX]

[DOI]

Danial Khosh Kholgh

Mohammad Sina Kiarostami

Sorush Saghari

Shiva Parsa Rad

Marko Tkalcic

Inf. Process. Manag., 2021

Developing and Evaluating a University Recommender System.

[BibT_eX]

[DOI]

Alain Starke

Nabil El Ioini

Anna Alexander Lambrix

Frontiers Artif. Intell., 2021

Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines.

[BibT_eX]

[DOI]

Naieme Hazrati

Expert Syst. J. Knowl. Eng., 2021

Recommending Videos in Cold Start With Automatic Visual Tags.

[BibT_eX]

[DOI]

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

Beyond Algorithmic Fairness in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

News Images in MediaEval 2021.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Hybrid Recommendation of Movies Based on Deep Content Features.

[BibT_eX]

[DOI]

Tord Kvifte

Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021

2020

Towards Generating Personalized Country Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Exploring Personalized University Ranking and Recommendation.

[BibT_eX]

[DOI]

Nabil El Ioini

Anna Alexander Lambrix

Mouzhi Ge

Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

AudioLens: Audio-Aware Video Recommendation for Mitigating New Item Problem.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

Simulating the Impact of Recommender Systems on the Evolution of Collective Users' Choices.

[BibT_eX]

[DOI]

Naieme Hazrati

Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Visually-Aware Video Recommendation in the Cold Start.

[BibT_eX]

[DOI]

Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Optical Flow Estimation with Deep Learning, a Survey on Recent Advances.

[BibT_eX]

[DOI]

Stefano Savian

Tammam Tillo

Proceedings of the Deep Biometrics, 2020

2019

Exploring the Power of Visual Features for the Recommendation of Movies.

[BibT_eX]

[DOI]

Marko Tkalcic

Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

Predicting Movie Popularity and Ratings with Visual Features.

[BibT_eX]

[DOI]

Proceedings of the 14th International Workshop on Semantic and Social Media Adaptation and Personalization, 2019

Benchmarking The Imbalanced Behavior of Deep Learning Based Optical Flow Estimators.

[BibT_eX]

[DOI]

Stefano Savian

Tammam Tillo

Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

Analysing Recommender Systems Impact on Users' Choices.

[BibT_eX]

[DOI]

Naieme Hazrati

Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019

Your hardware is all wired up!: attacking network-on-chips via crosstalk channel.

[BibT_eX]

[DOI]

Ahmad Patooghy

Maral Filvan Torkaman

Proceedings of the 12th International Workshop on Network on Chip Architectures, 2019

Prediction of music pairwise preferences from facial expressions.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content.

[BibT_eX]

[DOI]

Markus Schedl

Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

2018

Current challenges and visions in music recommender systems research.

[BibT_eX]

[DOI]

Int. J. Multim. Inf. Retr., 2018

Using visual features based on MPEG-7 and deep learning for movie recommendation.

[BibT_eX]

[DOI]

Int. J. Multim. Inf. Retr., 2018

Social Network based Short-Term Stock Trading System.

[BibT_eX]

[DOI]

CoRR, 2018

It Takes Two, Baby: Style and Tangibles for Recommending and Interacting with Videos.

[BibT_eX]

[DOI]

Proceedings of the 9th Italian Information Retrieval Workshop, 2018

Tangible Tourism with the Internet of Things.

[BibT_eX]

[DOI]

Proceedings of the Information and Communication Technologies in Tourism 2018, 2018

User Preference Elicitation, Rating Sparsity and Cold Start.

[BibT_eX]

[DOI]

Proceedings of the Collaborative Recommendations, 2018

2017

User interface patterns in recommendation-empowered content intensive multimedia applications.

[BibT_eX]

[DOI]

Franca Garzotto

Multim. Tools Appl., 2017

Toward Active Learning in Cross-domain Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2017

Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation.

[BibT_eX]

[DOI]

CoRR, 2017

User Nutrition Modelling and Recommendation: Balancing Simplicity and Complexity.

[BibT_eX]

[DOI]

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space.

[BibT_eX]

[DOI]

David Massimo

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System.

[BibT_eX]

[DOI]

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

A Research Tool for User Preferences Elicitation with Facial Expressions.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Exploring the Semantic Gap for Movie Recommendations.

[BibT_eX]

[DOI]

Leonardo Cella

Stefano Cereda

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

RecSys Challenge 2017: Offline and Online Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016

Alleviating the new user problem in collaborative filtering by exploiting personality information.

[BibT_eX]

[DOI]

Ignacio Fernández-Tobías

User Model. User Adapt. Interact., 2016

Content-Based Video Recommendation System Based on Stylistic Visual Features.

[BibT_eX]

[DOI]

J. Data Semant., 2016

A survey of active learning in collaborative filtering recommender systems.

[BibT_eX]

[DOI]

Comput. Sci. Rev., 2016

Using Visual Features and Latent Factors for Movie Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy?

[BibT_eX]

[DOI]

Andrea Luigi Edoardo Caielli

Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016

Recommending Movies Based on Mise-en-Scene Design.

[BibT_eX]

[DOI]

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

Active Learning in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Recommender Systems Handbook, 2015

Interaction Design in a Mobile Food Recommender System.

[BibT_eX]

[DOI]

Mouzhi Ge

Ignacio Fernández-Tobías

Shlomo Berkovsky

David Massimo

Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2015

User Personality and the New User Problem in a Context-Aware Point of Interest Recommender System.

[BibT_eX]

[DOI]

Proceedings of the Information and Communication Technologies in Tourism 2015, 2015

Using Tags and Latent Factors in a Food Recommender System.

[BibT_eX]

[DOI]

Mouzhi Ge

Ignacio Fernández-Tobías

David Massimo

Proceedings of the 5th International Conference on Digital Health 2015, 2015

Toward Building a Content-Based Video Recommendation System Based on Low-Level Features.

[BibT_eX]

[DOI]

Proceedings of the E-Commerce and Web Technologies, 2015

Investigating the Decision Making Process of Users based on the PoliMovie Dataset.

[BibT_eX]

[DOI]

Mona Naseri

Proceedings of the 2nd International Workshop on Decision Making and Recommender Systems, 2015

Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles.

[BibT_eX]

[DOI]

Proceedings of the 11th Biannual Conference on Italian SIGCHI Chapter, 2015

Interaction Design Patterns in Recommender Systems.

[BibT_eX]

[DOI]

Franca Garzotto

Proceedings of the 11th Biannual Conference on Italian SIGCHI Chapter, 2015

2014

Techniques for cold-starting context-aware mobile recommender systems for tourism.

[BibT_eX]

[DOI]

Intelligenza Artificiale, 2014

STS: A Context-Aware Mobile Recommender System for Places of Interest.

[BibT_eX]

[DOI]

Proceedings of the Posters, 2014

Interactive Food Recommendation for Groups.

[BibT_eX]

[DOI]

Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

Context Dependent Preference Acquisition with Personality-Based Active Learning in Mobile Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Learning and Collaboration Technologies. Technology-Rich Environments for Learning and Collaboration, 2014

Context-Aware Points of Interest Suggestion with Dynamic Weather Data Management.

[BibT_eX]

[DOI]

Proceedings of the Information and Communication Technologies in Tourism 2014, 2014

Active Learning in Collaborative Filtering Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the E-Commerce and Web Technologies - 15th International Conference, 2014

Usability Assessment of a Context-Aware and Personality-Based Mobile Recommender System.

[BibT_eX]

[DOI]

Proceedings of the E-Commerce and Web Technologies - 15th International Conference, 2014

2013

Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2013

Personality-Based Active Learning for Collaborative Filtering Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

STS: Design of Weather-Aware Mobile Recommender Systems in Tourism.

[BibT_eX]

[DOI]

Proceedings of the First International Workshop on Intelligent User Interfaces: Artificial Intelligence meets Human Computer Interaction (AI*HCI 2013) A workshop of the XIII International Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013

2012

Adapting to Natural Rating Acquisition with Combined Active Learning Strategies.

[BibT_eX]

[DOI]