Alice Wang

According to our database, Alice Wang authored at least 21 papers between 2020 and 2026.

Collaborative distances:

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

2026

Primal-Dual Guided Decoding for Constrained Discrete Diffusion.

Federico Tomasi, Dmitrii Moor, Alice Wang, Mounia Lalmas

CoRR, May, 2026

Deploying Semantic ID-based Generative Retrieval for Large-Scale Podcast Discovery at Spotify.

Edoardo D'Amico, Marco De Nadai, Praveen Chandar, Divita Vohra, Shawn Lin, Max Lefarov, Paul Gigioli, Gustavo Penha, Ilya Kopysitsky, Ivo Joel Senese, Darren Mei, Francesco Fabbri, Oguz Semerci, Yu Zhao, Vincent Tang, Brian St. Thomas, Alexandra Ranieri, Matthew N. K. Smith, Aaron Bernkopf, Bryan Leung, Ghazal Fazelnia, Mark VanMiddlesworth, Timothy Christopher Heath, Petter Pehrson Skidén, Alice Y. Wang, Doug J. Cole, Andreas Damianou, Maya Hristakeva, Reid Wilbur, Tarun Chillara, Vladan Radosavljevic, Pooja Chitkara, Sainath Adapa, Juan Elenter, Bernd Huber, Jacqueline Wood, Saaketh Vedantam, Jan Stypka, Sandeep Ghael, Martin D. Gould, David Murgatroyd, Yves Raimond, Mounia Lalmas, Paul N. Bennett

CoRR, March, 2026

2025

Do LLM-judges Align with Human Relevance in Cranfield-style Recommender Evaluation?

Gustavo Penha, Aleksandr V. Petrov, Claudia Hauff, Enrico Palumbo, Ali Vardasbi, Edoardo D'Amico, Francesco Fabbri, Alice Wang, Praveen Chandar, Henrik Lindström, Hugues Bouchard, Mounia Lalmas

CoRR, November, 2025

AudioBoost: Increasing Audiobook Retrievability in Spotify Search with Synthetic Query Generation.

Enrico Palumbo, Gustavo Penha, Alva Liu, Marcus Eltscheminov, Jefferson Carvalho dos Santos, Alice Wang, Hugues Bouchard, Humberto Jesús Corona Pampín, Michelle Tran Luu

CoRR, September, 2025

Unbiased Identification of Broadly Appealing Content Using a Pure Exploration Infinitely Armed Bandit Strategy.

Maryam Aziz, Jesse Anderton, Kevin Jamieson, Alice Wang, Hugues Bouchard, Javed A. Aslam

Trans. Recomm. Syst., March, 2025

Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval.

Enrico Palumbo, Gustavo Penha, Andreas Damianou, José Luis Redondo García, Timothy Christopher Heath, Alice Wang, Hugues Bouchard, Mounia Lalmas

CoRR, March, 2025

Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge.

Francesco Fabbri, Gustavo Penha, Edoardo D'Amico, Alice Wang, Marco De Nadai, Jackie Doremus, Paul Gigioli, Andreas Damianou, Oskar Stål, Mounia Lalmas

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Contextualizing Spotify's Audiobook List Recommendations with Descriptive Shelves.

Gustavo Penha, Alice Wang, Martin Achenbach, Kristen Sheets, Sahitya Mantravadi, Remi Galvez, Nico Guetta-Jeanrenaud, Divya Narayanan, Ofeliya Kalaydzhyan, Hugues Bouchard

Proceedings of the Advances in Information Retrieval, 2025

2024

Structural Podcast Content Modeling with Generalizability.

Yijun Tian, Maryam Aziz, Alice Wang, Enrico Palumbo, Hugues Bouchard

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks.

Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas, Andreas Damianou

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Towards Graph Foundation Models for Personalization.

Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Episodes Discovery Recommendation with Multi-Source Augmentations.

Ziwei Fan, Alice Wang, Zahra Nazari

CoRR, 2023

Improving Content Retrievability in Search with Controllable Query Generation.

Gustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, Hugues Bouchard

Proceedings of the ACM Web Conference 2023, 2023

Graph Learning for Exploratory Query Suggestions in an Instant Search System.

Enrico Palumbo, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar, David Nyhan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Sequential Recommendation via Stochastic Self-Attention.

Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Identifying New Podcasts with High General Appeal Using a Pure Exploration Infinitely-Armed Bandit Strategy.

Maryam Aziz, Jesse Anderton, Kevin Jamieson, Alice Wang, Hugues Bouchard, Javed A. Aslam

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

Time after Time: Longitudinal Trends in Nostalgic Listening.

Clara Hanson, Jesse Anderton, Samuel F. Way, Ian Anderson, Scott Wolf, Alice Wang

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021

Representation of Music Creators on Wikipedia, Differences in Gender and Genre.

Alice Wang, Aasish Pappu, Henriette Cramer

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts.

Maryam Aziz, Alice Wang, Aasish Pappu, Hugues Bouchard, Yu Zhao, Benjamin A. Carterette, Mounia Lalmas

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Trajectory Based Podcast Recommendation.

Greg Benton, Ghazal Fazelnia, Alice Wang, Ben Carterette

CoRR, 2020

Do podcasts and music compete with one another? Understanding users' audio streaming habits.

Ang Li, Alice Wang, Zahra Nazari, Praveen Chandar, Benjamin A. Carterette

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020