Azin Ghazimatin

19 papers A* 3A 4Misc 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Transforming Podcast Preview Generation: From Expert Models to LLM-Based Systems. ACL (6) Winstead Zhu, Ann Clifton, Azin Ghazimatin, Edgar Tanaka, Ward Ronan
2025	J	`jnl`	Transforming Podcast Preview Generation: From Expert Models to LLM-Based Systems. CoRR Winstead Zhu, Ann Clifton, Azin Ghazimatin, Edgar Tanaka, Ward Ronan
2024	A	`conf`	PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters. CIKM Azin Ghazimatin, Ekaterina Garmash, Gustavo Penha, Kristen Sheets, Martin Achenbach, Oguz Semerci, Remi Galvez, Marcus Tannenberg, Sahitya Mantravadi, Divya Narayanan, Ofeliya Kalaydzhyan, Douglas Cole, Ben Carterette, Ann Clifton, Paul N. Bennett, Claudia Hauff, Mounia Lalmas
2024	J	`jnl`	PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters. CoRR Azin Ghazimatin, Ekaterina Garmash, Gustavo Penha, Kristen Sheets, Martin Achenbach, Oguz Semerci, Remi Galvez, Marcus Tannenberg, Sahitya Mantravadi, Divya Narayanan, Ofeliya Kalaydzhyan, Douglas Cole, Ben Carterette, Ann Clifton, Paul N. Bennett, Claudia Hauff, Mounia Lalmas
2023	Misc	`conf`	Enhancing Explainability and Scrutability of Recommender Systems. BTW Azin Ghazimatin
2022	—	`conf`	Measuring Fairness of Rankings under Noisy Sensitive Information. FAccT Azin Ghazimatin, Matthäus Kleindessner, Chris Russell, Ziawasch Abedjan, Jacek Golebiowski
2021	A*	`conf`	Counterfactual Explanations for Neural Recommenders. SIGIR Khanh Hiep Tran, Azin Ghazimatin, Rishiraj Saha Roy
2021	J	`jnl`	Counterfactual Explanations for Neural Recommenders. CoRR Khanh Hiep Tran, Azin Ghazimatin, Rishiraj Saha Roy
2021	A*	`conf`	ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models. WWW Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum
2021	J	`jnl`	ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models. CoRR Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum
2021	—	`—`	Enhancing explainability and scrutability of recommender systems. Azin Ghazimatin
2020	A*	`conf`	Explaining Recommendations in Heterogeneous Networks. SIGIR Azin Ghazimatin
2020	A	`conf`	PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems. WSDM Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy, Gerhard Weikum
2019	A	`conf`	FAIRY: A Framework for Understanding Relationships Between Users' Actions and their Social Feeds. WSDM Azin Ghazimatin, Rishiraj Saha Roy, Gerhard Weikum
2019	J	`jnl`	FAIRY: A Framework for Understanding Relationships between Users' Actions and their Social Feeds. CoRR Azin Ghazimatin, Rishiraj Saha Roy, Gerhard Weikum
2019	J	`jnl`	PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems. CoRR Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy, Gerhard Weikum
2017	A	`conf`	Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities. CIKM Asia J. Biega, Azin Ghazimatin, Hakan Ferhatosmanoglu, Krishna P. Gummadi, Gerhard Weikum
2016	J	`jnl`	Team selection for prediction tasks. J. Comb. Optim. MohammadAmin Fazli, Azin Ghazimatin, Jafar Habibi, Hamid Haghshenas
2014	J	`jnl`	Team Selection For Prediction Tasks. CoRR MohammadAmin Fazli, Azin Ghazimatin, Jafar Habibi, Hamid Haghshenas