Harald Steck - RankMe

59 papers A* 8A 18B 2C 1Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems. WWW Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li
2025	J	`jnl`	Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems. CoRR Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li
2025	A*	`conf`	Does Weighting Improve Matrix Factorization for Recommender Systems? WWW Alex Ayoub, Samuel Robertson, Dawen Liang, Harald Steck, Nathan Kallus
2025	J	`jnl`	Does Weighting Improve Matrix Factorization for Recommender Systems? CoRR Alex Ayoub, Samuel Robertson, Dawen Liang, Harald Steck, Nathan Kallus
2025	J	`jnl`	From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System. CoRR Rohan Surana, Junda Wu, Zhouhang Xie, Yu Xia, Harald Steck, Dawen Liang, Nathan Kallus, Julian J. McAuley
2025	—	`conf`	LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience. EMNLP (Findings) Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Nathan Kallus, Jundong Li
2025	J	`jnl`	Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning. CoRR Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Vito Ostuni, Jundong Li, Nathan Kallus
2025	A	`conf`	Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation. WSDM Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley
2024	—	`conf`	Is Cosine-Similarity of Embeddings Really About Similarity? WWW (Companion Volume) Harald Steck, Chaitanya Ekanadham, Nathan Kallus
2024	J	`jnl`	Is Cosine-Similarity of Embeddings Really About Similarity? CoRR Harald Steck, Chaitanya Ekanadham, Nathan Kallus
2024	A	`conf`	Neighborhood-Based Collaborative Filtering for Conversational Recommendation. RecSys Zhouhang Xie, Junda Wu, Hyunsik Jeon, Zhankui He, Harald Steck, Rahul Jha, Dawen Liang, Nathan Kallus, Julian J. McAuley
2024	J	`jnl`	Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation. CoRR Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley
2023	A	`conf`	Large Language Models as Zero-Shot Conversational Recommenders. CIKM Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley
2023	J	`jnl`	Large Language Models as Zero-Shot Conversational Recommenders. CoRR Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley
2021	J	`jnl`	Deep Learning for Recommender Systems: A Netflix Case Study. AI Mag. Harald Steck, Linas Baltrunas, Ehtsham Elahi, Dawen Liang, Yves Raimond, Justin Basilico
2021	A	`conf`	Negative Interactions for Improved Collaborative Filtering: Don't go Deeper, go Higher. RecSys Harald Steck, Dawen Liang
2021	J	`jnl`	On the Regularization of Autoencoders. CoRR Harald Steck, Dario García-García
2020	A	`conf`	ADMM SLIM: Sparse Recommendations for Many Users. WSDM Harald Steck, Maria Dimakopoulou, Nickolai Riabov, Tony Jebara
2020	A*	`conf`	Autoencoders that don't overfit towards the Identity. NeurIPS Harald Steck
2019	J	`jnl`	Collaborative Filtering via High-Dimensional Regression. CoRR Harald Steck
2019	A*	`conf`	Embarrassingly Shallow Autoencoders for Sparse Data. WWW Harald Steck
2019	J	`jnl`	Embarrassingly Shallow Autoencoders for Sparse Data. CoRR Harald Steck
2019	A*	`conf`	Markov Random Fields for Collaborative Filtering. NeurIPS Harald Steck
2019	J	`jnl`	Markov Random Fields for Collaborative Filtering. CoRR Harald Steck
2018	A	`conf`	Calibrated recommendations. RecSys Harald Steck
2015	A	`conf`	Gaussian Ranking by Matrix Factorization. RecSys Harald Steck
2015	A	`conf`	Interactive Recommender Systems: Tutorial. RecSys Harald Steck, Roelof van Zwol, Chris Johnson
2014	J	`jnl`	A survey of collaborative filtering based social recommender systems. Comput. Commun. Xiwang Yang, Yang Guo, Yong Liu, Harald Steck
2014	A	`conf`	REDD 2014 - international workshop on recommender systems evaluation: dimensions and design. RecSys Panagiotis Adamopoulos, Alejandro Bellogín, Pablo Castells, Paolo Cremonesi, Harald Steck
2013	A	`conf`	Evaluation of recommendations: rating-prediction and ranking. RecSys Harald Steck
2013	J	`jnl`	On the Use of Skeletons when Learning in Bayesian Networks CoRR Harald Steck
2013	J	`jnl`	Unsupervised Active Learning in Large Domains CoRR Harald Steck, Tommi S. Jaakkola
2012	A*	`conf`	Circle-based recommendation in online social networks. KDD Xiwang Yang, Harald Steck, Yong Liu
2012	J	`jnl`	Learning the Bayesian Network Structure: Dirichlet Prior versus Data CoRR Harald Steck
2012	A	`conf`	On top-k recommendation using social networks. RecSys Xiwang Yang, Harald Steck, Yang Guo, Yong Liu
2012	J	`jnl`	Probability kernel regression for WiFi localisation. J. Locat. Based Serv. Piotr Mirowski, Philip Whiting, Harald Steck, Ravishankar Palaniappan, Michael MacDonald, Detlef Hartmann, Tin Kam Ho
2012	—	`ed.`	Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, RUE 2012, Dublin, Ireland, September 9, 2012 RUE@RecSys Xavier Amatriain, Pablo Castells, Arjen P. de Vries, Christian Posse, Harald Steck
2012	J	`jnl`	Public Space Behavior Modeling With Video and Sensor Analytics. Bell Labs Tech. J. Tin Kam Ho, Kim Matthews, Lawrence O'Gorman, Harald Steck
2012	J	`jnl`	Ranking by Dependence - A Fair Criteria. CoRR Harald Steck
2011	A	`conf`	Item popularity and recommendation accuracy. RecSys Harald Steck
2011	C	`conf`	KL-divergence kernel regression for non-Gaussian fingerprint based localization. IPIN Piotr Mirowski, Harald Steck, Philip Whiting, Ravishankar Palaniappan, Michael MacDonald, Tin Kam Ho
2011	A	`conf`	Multi-value probabilistic matrix factorization for IP-TV recommendations. RecSys Yu Xin, Harald Steck
2010	—	`conf`	A Generalized Probabilistic Framework and its Variants for Training Top-k Recommender System. PRSAT@RecSys Harald Steck, Yu Xin
2010	A*	`conf`	Training and testing of recommender systems on data missing not at random. KDD Harald Steck
2009	B	`conf`	Data-Efficient Information-Theoretic Test Selection. AIME Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer
2009	B	`conf`	Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis. IDA Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer
2008	A	`conf`	Learning the Bayesian Network Structure: Dirichlet Prior vs Data. UAI Harald Steck
2007	A*	`conf`	Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks. IJCAI Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran
2007	—	`conf`	Bayesian Co-Training. NIPS Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao
2007	—	`conf`	Hinge Rank Loss and the Area Under the ROC Curve. ECML Harald Steck
2007	—	`conf`	On Ranking in Survival Analysis: Bounds on the Concordance Index. NIPS Vikas C. Raykar, Harald Steck, Balaji Krishnapuram, Cary Dehing-Oberije, Philippe Lambin
2007	A	`conf`	Predictive Discretization during Model Selection. AISTATS Harald Steck, Tommi S. Jaakkola
2006	A	`conf`	Ranking by Dependence - A Fair Criteria. UAI Harald Steck
2004	—	`conf`	Predictive Discretization During Model Selection. DAGM-Symposium Harald Steck, Tommi S. Jaakkola
2003	—	`conf`	Bias-Corrected Bootstrap and Model Uncertainty. NIPS Harald Steck, Tommi S. Jaakkola
2002	—	`conf`	On the Dirichlet Prior and Bayesian Regularization. NIPS Harald Steck, Tommi S. Jaakkola
2002	A	`conf`	Unsupervised Active Learning in Large Domains. UAI Harald Steck, Tommi S. Jaakkola
2001	—	`—`	Constraint-based structural learning in Bayesian networks using finite data sets. Harald Steck
2000	A	`conf`	On the Use of Skeletons when Learning in Bayesian Networks. UAI Harald Steck