Mehdi Elahi

According to our database1, Mehdi Elahi authored at least 51 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2019
Exploring the Power of Visual Features for the Recommendation of Movies.
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

Predicting Movie Popularity and Ratings with Visual Features.
Proceedings of the 14th International Workshop on Semantic and Social Media Adaptation and Personalization, 2019

Analysing Recommender Systems Impact on Users' Choices.
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.
Proceedings of the 12th International Workshop on Network on Chip Architectures, 2019

Prediction of music pairwise preferences from facial expressions.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content.
Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

2018
Current challenges and visions in music recommender systems research.
IJMIR, 2018

Using visual features based on MPEG-7 and deep learning for movie recommendation.
IJMIR, 2018

Social Network based Short-Term Stock Trading System.
CoRR, 2018

It Takes Two, Baby: Style and Tangibles for Recommending and Interacting with Videos.
Proceedings of the 9th Italian Information Retrieval Workshop, 2018

Tangible Tourism with the Internet of Things.
Proceedings of the Information and Communication Technologies in Tourism 2018, 2018

User Preference Elicitation, Rating Sparsity and Cold Start.
Proceedings of the Collaborative Recommendations, 2018

2017
User interface patterns in recommendation-empowered content intensive multimedia applications.
Multimedia Tools Appl., 2017

Current Challenges and Visions in Music Recommender Systems Research.
CoRR, 2017

Toward Active Learning in Cross-domain Recommender Systems.
CoRR, 2017

Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation.
CoRR, 2017

User Nutrition Modelling and Recommendation: Balancing Simplicity and Complexity.
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.
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.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

A Research Tool for User Preferences Elicitation with Facial Expressions.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Exploring the Semantic Gap for Movie Recommendations.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

RecSys Challenge 2017: Offline and Online Evaluation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016
Alleviating the new user problem in collaborative filtering by exploiting personality information.
User Model. User-Adapt. Interact., 2016

Content-Based Video Recommendation System Based on Stylistic Visual Features.
J. Data Semantics, 2016

A survey of active learning in collaborative filtering recommender systems.
Computer Science Review, 2016

Using Visual Features and Latent Factors for Movie Recommendation.
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?
Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016

Recommending Movies Based on Mise-en-Scene Design.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Active Learning in Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2015

Interaction Design in a Mobile Food Recommender System.
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.
Proceedings of the Information and Communication Technologies in Tourism 2015, 2015

Using Tags and Latent Factors in a Food Recommender System.
Proceedings of the 5th International Conference on Digital Health 2015, 2015

Toward Building a Content-Based Video Recommendation System Based on Low-Level Features.
Proceedings of the E-Commerce and Web Technologies, 2015

Investigating the Decision Making Process of Users based on the PoliMovie Dataset.
Proceedings of the 2nd International Workshop on Decision Making and Recommender Systems, 2015

Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles.
Proceedings of the 11th Biannual Conference on Italian SIGCHI Chapter, 2015

Interaction Design Patterns in Recommender Systems.
Proceedings of the 11th Biannual Conference on Italian SIGCHI Chapter, 2015

2014
Techniques for cold-starting context-aware mobile recommender systems for tourism.
Intelligenza Artificiale, 2014

STS: A Context-Aware Mobile Recommender System for Places of Interest.
Proceedings of the Posters, 2014

Interactive Food Recommendation for Groups.
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.
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.
Proceedings of the Information and Communication Technologies in Tourism 2014, 2014

Active Learning in Collaborative Filtering Recommender Systems.
Proceedings of the E-Commerce and Web Technologies - 15th International Conference, 2014

Usability Assessment of a Context-Aware and Personality-Based Mobile Recommender System.
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.
ACM TIST, 2013

Personality-Based Active Learning for Collaborative Filtering Recommender Systems.
Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

STS: Design of Weather-Aware Mobile Recommender Systems in Tourism.
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.
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

2011
Adaptive Active Learning in Recommender Systems.
Proceedings of the User Modeling, Adaption and Personalization, 2011

Rating Elicitation Strategies for Collaborative Filtering.
Proceedings of the E-Commerce and Web Technologies - 12th International Conference, 2011

2010
Context-aware intelligent recommender system.
Proceedings of the 15th International Conference on Intelligent User Interfaces, 2010

2009
Tribal taste: mobile multiagent recommender system.
Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009


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