Behnam Rahdari

According to our database1, Behnam Rahdari authored at least 21 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs.
CoRR, 2023

2022
From Ranked Lists to Carousels: A Carousel Click Model.
CoRR, 2022

HELPeR: An Interactive Recommender System for Ovarian Cancer Patients and Caregivers.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Simulation-Based Evaluation of Interactive Recommender Systems.
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.
Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022

Towards Increasing the Coverage of Interactive Recommendations.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Classification Models for Predicting Inflammatory Bowel Disease Healthcare Utilization.
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.
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.
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.
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.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Knowledge-Driven Wikipedia Article Recommendation for Electronic Textbooks.
Proceedings of the Addressing Global Challenges and Quality Education, 2020

Grapevine: A profile-based exploratory search and recommendation system for finding research advisors.
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.
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.
Big Data Res., 2019

Building a Knowledge Graph for Recommending Experts.
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.
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.
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

Expanding Controllability of Hybrid Recommender Systems: From Positive to Negative Relevance.
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.
Proceedings of the 3rd International Workshop on Knowledge Discovery on the WEB, 2017

Analysis of Online User Behaviour for Art and Culture Events.
Proceedings of the Machine Learning and Knowledge Extraction, 2017


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