Harald Steck

2025

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Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation.
Zhankui He|Zhouhang Xie|Harald Steck|Dawen Liang|Rahul Jha|Nathan Kallus|Julian J. McAuley
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
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Does Weighting Improve Matrix Factorization for Recommender Systems?
Alex Ayoub|Samuel Robertson|Dawen Liang|Harald Steck|Nathan Kallus
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
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Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems.
Yaochen Zhu|Chao Wan|Harald Steck|Dawen Liang|Yesu Feng|Nathan Kallus|Jundong Li
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

2024

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Is Cosine-Similarity of Embeddings Really About Similarity?
Harald Steck|Chaitanya Ekanadham|Nathan Kallus
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

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Large Language Models as Zero-Shot Conversational Recommenders.
Zhankui He|Zhouhang Xie|Rahul Jha|Harald Steck|Dawen Liang|Yesu Feng|Bodhisattwa Prasad Majumder|Nathan Kallus|Julian J. McAuley
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

2020

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ADMM SLIM: Sparse Recommendations for Many Users.
Harald Steck|Maria Dimakopoulou|Nickolai Riabov|Tony Jebara
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

2019

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Embarrassingly Shallow Autoencoders for Sparse Data.
Harald Steck
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019