Maciej Kula

According to our database, Maciej Kula authored at least 6 papers between 2015 and 2024.

Collaborative distances:

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

2024

Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems.

Nikhil Khani, Li Wei, Aniruddh Nath, Shawn Andrews, Shuo Yang, Yang Liu, Pendo Abbo, Maciej Kula, Jarrod Kahn, Zhe Zhao, Lichan Hong, Ed H. Chi

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems.

Huan Gui, Ruoxi Wang, Ke Yin, Long Jin, Maciej Kula, Taibai Xu, Lichan Hong, Ed H. Chi

CoRR, 2023

Recommender Systems with Generative Retrieval.

Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Mahesh Sathiamoorthy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2017

Mixture-of-tastes Models for Representing Users with Diverse Interests.

Maciej Kula

CoRR, 2017

Binary Latent Representations for Efficient Ranking: Empirical Assessment.

Maciej Kula

CoRR, 2017

2015

Metadata Embeddings for User and Item Cold-start Recommendations.

Maciej Kula

Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), 2015