Behnam Rahdari

According to our database, Behnam Rahdari authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards Simulation-Based Evaluation of Recommender Systems with Carousel Interfaces.

Behnam Rahdari, Peter Brusilovsky, Branislav Kveton

Trans. Recomm. Syst., March, 2024

Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs.

Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

HELPeR: Interface Design Decision and Evaluation.

Khushboo Thaker, Behnam Rahdari, Vivian Hui, Zhimeng Luo, Youjia Wang, Peter Brusilovsky, Daqing He, Heidi Donovan, Young Ji Lee

Proceedings of the Innovation in Applied Nursing Informatics, 2024

CARE: An Infrastructure for Evaluation of Carousel-Based Recommender Interfaces.

Behnam Rahdari, Peter Brusilovsky

Proceedings of the Companion Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

2022

From Ranked Lists to Carousels: A Carousel Click Model.

Behnam Rahdari, Branislav Kveton, Peter Brusilovsky

CoRR, 2022

HELPeR: An Interactive Recommender System for Ovarian Cancer Patients and Caregivers.

Behnam Rahdari, Peter Brusilovsky, Daqing He, Khushboo Maulikmihir Thaker, Zhimeng Luo, Young Ji Lee

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

Simulation-Based Evaluation of Interactive Recommender Systems.

Behnam Rahdari, Peter Brusilovsky

Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

The Magic of Carousels: Single vs. Multi-List Recommender Systems.

Behnam Rahdari, Branislav Kveton, Peter Brusilovsky

Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022

Towards Increasing the Coverage of Interactive Recommendations.

Behnam Rahdari, Peter Brusilovsky, Branislav Kveton

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Classification Models for Predicting Inflammatory Bowel Disease Healthcare Utilization.

Dmitriy Babichenko, Behnam Rahdari, Ben Stein, Suraj Subramanian, Claudia Ramos Rivers, Gong Tang, David Binion

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

Controlling Personalized Recommendations in Two Dimensions with a Carousel-Based Interface.

Behnam Rahdari, Peter Brusilovsky, Alireza Javadian Sabet

Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Connecting Students with Research Advisors Through User-Controlled Recommendation.

Behnam Rahdari, Peter Brusilovsky, Alireza Javadian Sabet

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

PaperExplorer: Personalized Exploratory Search for Conference Proceedings.

Behnam Rahdari, Peter Brusilovsky

Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

2020

Personalizing Information Exploration with an Open User Model.

Behnam Rahdari, Peter Brusilovsky, Dmitriy Babichenko

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

Knowledge-Driven Wikipedia Article Recommendation for Electronic Textbooks.

Behnam Rahdari, Peter Brusilovsky, Khushboo Thaker, Jordan Barria-Pineda

Proceedings of the Addressing Global Challenges and Quality Education, 2020

Grapevine: A profile-based exploratory search and recommendation system for finding research advisors.

Behnam Rahdari, Peter Brusilovsky, Dmitriy Babichenko, Eliza Beth Littleton, Ravi Patel, Jaime Fawcett, Zara Blum

Proceedings of the Information for a Sustainable World: Addressing Society's Grand Challenges, 2020

Using Knowledge Graph for Explainable Recommendation of External Content in Electronic Textbooks.

Behnam Rahdari, Peter Brusilovsky, Khushboo Thaker, Jordan Barria-Pineda

Proceedings of the Second International Workshop on Intelligent Textbooks 2020 co-located with 21st International Conference on Artificial Intelligence in Education (AIED 2020), 2020

2019

Models and Practices in Urban Data Science at Scale.

Marco Balduini, Marco Brambilla, Emanuele Della Valle, Christian Marazzi, Tahereh Arabghalizi, Behnam Rahdari, Michele Vescovi

Big Data Res., 2019

Building a Knowledge Graph for Recommending Experts.

Behnam Rahdari, Peter Brusilovsky

Proceedings of the 1st International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019), 2019

Exploring User-Controlled Hybrid Recommendation in a Conference Context.

Chun-Hua Tsai, Peter Brusilovsky, Behnam Rahdari

Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

User-controlled hybrid recommendation for academic papers.

Behnam Rahdari, Peter Brusilovsky

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

Expanding Controllability of Hybrid Recommender Systems: From Positive to Negative Relevance.

Behnam Rahdari, Chun-Hua Tsai, Peter Brusilovsky

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2017

Analysis and Knowledge Extraction from Event-related Visual Content on Instagram.

Tahereh Arabghalizi, Behnam Rahdari, Marco Brambilla

Proceedings of the 3rd International Workshop on Knowledge Discovery on the WEB, 2017

Analysis of Online User Behaviour for Art and Culture Events.

Behnam Rahdari, Tahereh Arabghalizi, Marco Brambilla

Proceedings of the Machine Learning and Knowledge Extraction, 2017