Mehdi Elahi

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 61

Top Topics

Visual Features

Movie Recommendation

Recommender Systems

Top Venues

UMAP (Adjunct Publication)

Publications

Bilal Mahmood, Mehdi Elahi, Samia Touileb, L'ubos Steskal, Christoph Trattner
Incorporating Editorial Feedback in the Evaluation of News Recommender Systems. UMAP (Adjunct Publication) (2024)
Elham Motamedi, Danial Khosh Kholgh, Sorush Saghari, Mehdi Elahi, Francesco Barile, Marko Tkalcic
Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. Inf. Process. Manag. 61 (2) (2024)
Fatemeh Elahi, Mahmood Fazlali, Hadi Tabatabaee Malazi, Mehdi Elahi
Parallel Fractional Stochastic Gradient Descent With Adaptive Learning for Recommender Systems. IEEE Trans. Parallel Distributed Syst. 35 (3) (2024)
Stefano Savian, Mehdi Elahi, Andrea Janes, Tammam Tillo
Benchmarking equivariance for Deep Learning based optical flow estimators. Signal Process. Image Commun. 111 (2023)
Mehdi Elahi, Danial Khosh Kholgh, Mohammad Sina Kiarostami, Mourad Oussalah, Sorush Saghari
Hybrid recommendation by incorporating the sentiment of product reviews. Inf. Sci. 625 (2023)
Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Lars Skjærven, Astrid Tessem, Christoph Trattner
Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. RecSys (2023)
Ayoub El Majjodi, Alain D. Starke, Mehdi Elahi, Christoph Trattner
The Interplay between Food Knowledge, Nudges, and Preference Elicitation Methods Determines the Evaluation of a Recipe Recommender System. IntRS@RecSys (2023)
Ahmad Patooghy, Mehdi Elahi, Maral Filvan Torkaman, Sara Sezavar Dokhtfaroughi, Ramin Rajaei
Addressing Benign and Malicious Crosstalk in Modern System-on-Chips. IEEE Access 11 (2023)
Andreas Lommatzsch, Benjamin Kille, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen
The Relation between Texts and Images in News: News Images in MediaEval 2023. MediaEval (2023)
Anastasiia Klimashevskaia, Mehdi Elahi, Christoph Trattner
Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models. UMAP (Adjunct Publication) (2023)
Anastasiia Klimashevskaia, Dietmar Jannach, Mehdi Elahi, Christoph Trattner
A Survey on Popularity Bias in Recommender Systems. CoRR (2023)
Shahpar Yakhchi, Amin Behehsti, Seyed Mohssen Ghafari, Imran Razzak, Mehmet A. Orgun, Mehdi Elahi
A Convolutional Attention Network for Unifying General and Sequential Recommenders. Inf. Process. Manag. 59 (1) (2022)
Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Christoph Trattner, Lars Skjærven
Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches. BIAS (2022)
Van Thanh Le, Nabil El Ioini, Claus Pahl, Mehdi Elahi
Capacity-Based Trust System in Untrusted MEC Environments. IOTSMS (2022)
Mehdi Elahi, Dietmar Jannach, Lars Skjærven, Erik Knudsen, Helle Sjøvaag, Kristian Tolonen, Øyvind Holmstad, Igor Pipkin, Eivind Throndsen, Agnes Stenbom, Eivind Fiskerud, Adrian Oesch, Loek Vredenberg, Christoph Trattner
Towards responsible media recommendation. AI Ethics 2 (1) (2022)
Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen
News Images in MediaEval 2022. MediaEval (2022)
Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou
MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. RecSys (2022)
Christoph Trattner, Dietmar Jannach, Enrico Motta, Irene Costera Meijer, Nicholas Diakopoulos, Mehdi Elahi, Andreas L. Opdahl, Bjørnar Tessem, Njål Borch, Morten Fjeld, Lilja Øvrelid, Koenraad De Smedt, Hallvard Moe
Responsible media technology and AI: challenges and research directions. AI Ethics 2 (4) (2022)
Mehdi Elahi, Danial Khosh Kholgh, Mohammad Sina Kiarostami, Sorush Saghari, Shiva Parsa Rad, Marko Tkalcic
Investigating the impact of recommender systems on user-based and item-based popularity bias. Inf. Process. Manag. 58 (5) (2021)
Mehdi Elahi, Himan Abdollahpouri, Masoud Mansoury, Helma Torkamaan
Beyond Algorithmic Fairness in Recommender Systems. UMAP (Adjunct Publication) (2021)
Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Reza Hosseini, Mohammad Hossein Rimaz, Nabil El Ioini, Marko Tkalcic, Christoph Trattner, Tammam Tillo
Recommending Videos in Cold Start With Automatic Visual Tags. UMAP (Adjunct Publication) (2021)
Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen
News Images in MediaEval 2021. MediaEval (2021)
Mehdi Elahi, Alain Starke, Nabil El Ioini, Anna Alexander Lambrix, Christoph Trattner
Developing and Evaluating a University Recommender System. Frontiers Artif. Intell. 4 (2021)
Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems. MORS@RecSys (2021)
Naieme Hazrati, Mehdi Elahi
Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines. Expert Syst. J. Knowl. Eng. 38 (3) (2021)
Claudio Agostino Ardagna, Rasool Asal, Ernesto Damiani, Nabil El Ioini, Mehdi Elahi, Claus Pahl
From Trustworthy Data to Trustworthy IoT: A Data Collection Methodology Based on Blockchain. ACM Trans. Cyber Phys. Syst. 5 (1) (2021)
Tord Kvifte, Mehdi Elahi, Christoph Trattner
Hybrid Recommendation of Movies Based on Deep Content Features. ICSOC Workshops (2021)
Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
MORS 2021: 1st Workshop on Multi-Objective Recommender Systems. RecSys (2021)
Ayoub El Majjodi, Mehdi Elahi, Nabil El Ioini, Christoph Trattner
Towards Generating Personalized Country Recommendation. UMAP (Adjunct Publication) (2020)
Naieme Hazrati, Mehdi Elahi, Francesco Ricci
Simulating the Impact of Recommender Systems on the Evolution of Collective Users' Choices. HT (2020)
Mehdi Elahi, Reza Hosseini, Mohammad Hossein Rimaz, Farshad Bakhshandegan Moghaddam, Christoph Trattner
Visually-Aware Video Recommendation in the Cold Start. HT (2020)
Mehdi Elahi, Nabil El Ioini, Anna Alexander Lambrix, Mouzhi Ge
Exploring Personalized University Ranking and Recommendation. UMAP (Adjunct Publication) (2020)
Mohammad Hossein Rimaz, Reza Hosseini, Mehdi Elahi, Farshad Bakhshandegan Moghaddam
AudioLens: Audio-Aware Video Recommendation for Mitigating New Item Problem. ICSOC Workshops (2020)
Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt
Prediction of music pairwise preferences from facial expressions. IUI (2019)
Farshad Bakhshandegan Moghaddam, Mehdi Elahi, Reza Hosseini, Christoph Trattner, Marko Tkalcic
Predicting Movie Popularity and Ratings with Visual Features. SMAP (2019)
Ahmad Patooghy, Maral Filvan Torkaman, Mehdi Elahi
Your hardware is all wired up!: attacking network-on-chips via crosstalk channel. NoCArc@MICRO (2019)
Mohammad Hossein Rimaz, Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Christoph Trattner, Reza Hosseini, Marko Tkalcic
Exploring the Power of Visual Features for the Recommendation of Movies. UMAP (2019)
Naieme Hazrati, Mehdi Elahi, Francesco Ricci
Analysing Recommender Systems Impact on Users' Choices. ImpactRS@RecSys (2019)
Yashar Deldjoo, Markus Schedl, Mehdi Elahi
Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content. CBMI (2019)
Stefano Savian, Mehdi Elahi, Tammam Tillo
Benchmarking The Imbalanced Behavior of Deep Learning Based Optical Flow Estimators. SITIS (2019)
Mehdi Elahi, Rosella Gennari, Alessandra Melonio, Francesco Ricci
It Takes Two, Baby: Style and Tangibles for Recommending and Interacting with Videos. IIR (2018)
Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi
Using visual features based on MPEG-7 and deep learning for movie recommendation. Int. J. Multim. Inf. Retr. 7 (4) (2018)
Dario Cavada, Mehdi Elahi, David Massimo, Stefano Maule, Elena Not, Francesco Ricci, Adriano Venturini
Tangible Tourism with the Internet of Things. ENTER (2018)
Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi
Current challenges and visions in music recommender systems research. Int. J. Multim. Inf. Retr. 7 (2) (2018)
Paolo Cremonesi, Chiara Francalanci, Alessandro Poli, Roberto Pagano, Luca Mazzoni, Alberto Maggioni, Mehdi Elahi
Social Network based Short-Term Stock Trading System. CoRR (2018)
David Massimo, Mehdi Elahi, Francesco Ricci
Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space. UMAP (Adjunct Publication) (2017)
Hanna Schäfer, Mehdi Elahi, David Elsweiler, Georg Groh, Morgan Harvey, Bernd Ludwig, Francesco Ricci, Alan Said
User Nutrition Modelling and Recommendation: Balancing Simplicity and Complexity. UMAP (Adjunct Publication) (2017)
Paolo Cremonesi, Mehdi Elahi, Franca Garzotto
User interface patterns in recommendation-empowered content intensive multimedia applications. Multim. Tools Appl. 76 (4) (2017)
Roberto Pagano, Massimo Quadrana, Mehdi Elahi, Paolo Cremonesi
Toward Active Learning in Cross-domain Recommender Systems. CoRR (2017)
Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt
A Research Tool for User Preferences Elicitation with Facial Expressions. RecSys (2017)
David Massimo, Mehdi Elahi, Mouzhi Ge, Francesco Ricci
Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System. UMAP (2017)
Yashar Deldjoo, Massimo Quadrana, Mehdi Elahi, Paolo Cremonesi
Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation. CoRR (2017)
Fabian Abel, Yashar Deldjoo, Mehdi Elahi, Daniel Kohlsdorf
RecSys Challenge 2017: Offline and Online Evaluation. RecSys (2017)
Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi
Current Challenges and Visions in Music Recommender Systems Research. CoRR (2017)
Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi
Exploring the Semantic Gap for Movie Recommendations. RecSys (2017)
Ignacio Fernández-Tobías, Matthias Braunhofer, Mehdi Elahi, Francesco Ricci, Iván Cantador
Alleviating the new user problem in collaborative filtering by exploiting personality information. User Model. User Adapt. Interact. 26 (2-3) (2016)
Mehdi Elahi, Francesco Ricci, Neil Rubens
A survey of active learning in collaborative filtering recommender systems. Comput. Sci. Rev. 20 (2016)
Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Franca Garzotto, Pietro Piazzolla, Massimo Quadrana
Content-Based Video Recommendation System Based on Stylistic Visual Features. J. Data Semant. 5 (2) (2016)
Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi
Using Visual Features and Latent Factors for Movie Recommendation. CBRecSys@RecSys (2016)
Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Farshad Bakhshandegan Moghaddam, Andrea Luigi Edoardo Caielli
How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy? EC-Web (2016)
Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Franca Garzotto, Pietro Piazzolla
Recommending Movies Based on Mise-en-Scene Design. CHI Extended Abstracts (2016)
Paolo Cremonesi, Mehdi Elahi, Franca Garzotto
Interaction Design Patterns in Recommender Systems. CHItaly (2015)
Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi
Toward Building a Content-Based Video Recommendation System Based on Low-Level Features. EC-Web (2015)
Mona Naseri, Mehdi Elahi, Paolo Cremonesi
Investigating the Decision Making Process of Users based on the PoliMovie Dataset. DMRS (2015)
Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Ignacio Fernández-Tobías, Shlomo Berkovsky, David Massimo
Interaction Design in a Mobile Food Recommender System. IntRS@RecSys (2015)
Matthias Braunhofer, Mehdi Elahi, Francesco Ricci
User Personality and the New User Problem in a Context-Aware Point of Interest Recommender System. ENTER (2015)
Mouzhi Ge, Mehdi Elahi, Ignacio Fernández-Tobías, Francesco Ricci, David Massimo
Using Tags and Latent Factors in a Food Recommender System. Digital Health (2015)
Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi, Franca Garzotto
Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles. CHItaly (2015)
Matthias Braunhofer, Mehdi Elahi, Francesco Ricci
STS: A Context-Aware Mobile Recommender System for Places of Interest. UMAP Workshops (2014)
Matthias Braunhofer, Mehdi Elahi, Mouzhi Ge, Francesco Ricci
Context Dependent Preference Acquisition with Personality-Based Active Learning in Mobile Recommender Systems. HCI (15) (2014)
Matthias Braunhofer, Mehdi Elahi, Francesco Ricci
Techniques for cold-starting context-aware mobile recommender systems for tourism. Intelligenza Artificiale 8 (2) (2014)
Mehdi Elahi, Mouzhi Ge, Francesco Ricci, David Massimo, Shlomo Berkovsky
Interactive Food Recommendation for Groups. RecSys Posters (2014)
Mehdi Elahi, Francesco Ricci, Neil Rubens
Active Learning in Collaborative Filtering Recommender Systems. EC-Web (2014)
Matthias Braunhofer, Mehdi Elahi, Francesco Ricci
Usability Assessment of a Context-Aware and Personality-Based Mobile Recommender System. EC-Web (2014)
Matthias Braunhofer, Mehdi Elahi, Francesco Ricci, Thomas Schievenin
Context-Aware Points of Interest Suggestion with Dynamic Weather Data Management. ENTER (2014)
Mehdi Elahi, Matthias Braunhofer, Francesco Ricci, Marko Tkalcic
Personality-Based Active Learning for Collaborative Filtering Recommender Systems. AI*IA (2013)
Mehdi Elahi, Francesco Ricci, Neil Rubens
Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective. ACM Trans. Intell. Syst. Technol. 5 (1) (2013)
Matthias Braunhofer, Mehdi Elahi, Mouzhi Ge, Francesco Ricci, Thomas Schievenin
STS: Design of Weather-Aware Mobile Recommender Systems in Tourism. AI*HCI@AI*IA (2013)
Mehdi Elahi, Francesco Ricci, Neil Rubens
Adapting to Natural Rating Acquisition with Combined Active Learning Strategies. ISMIS (2012)
Mehdi Elahi
Adaptive Active Learning in Recommender Systems. UMAP (2011)
Mehdi Elahi, Valdemaras Repsys, Francesco Ricci
Rating Elicitation Strategies for Collaborative Filtering. EC-Web (2011)
Mehdi Elahi
Context-aware intelligent recommender system. IUI (2010)
Magnus Jändel, Mehdi Elahi
Tribal taste: mobile multiagent recommender system. IUI (2009)