Edward C. Malthouse

According to our database, Edward C. Malthouse authored at least 39 papers between 1998 and 2024.

Collaborative distances:

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

2024

Discovering interpretable structure in longitudinal predictors via coefficient trees.

Özge Sürer, Daniel W. Apley, Edward C. Malthouse

Adv. Data Anal. Classif., December, 2024

Coefficient tree regression: fast, accurate and interpretable predictive modeling.

Özge Sürer, Daniel W. Apley, Edward C. Malthouse

Mach. Learn., July, 2024

Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures.

Xinyi Li, Yu Xu, Yongfeng Zhang, Edward C. Malthouse

CoRR, 2024

Large Language Model Agent for Fake News Detection.

Xinyi Li, Yongfeng Zhang, Edward C. Malthouse

CoRR, 2024

Fifth Generation IMC: Expanding the scope to Profit, People, and the Planet.

Stewart Pearson, Edward C. Malthouse

CoRR, 2024

Conducting User Experiments in Recommender Systems.

Bart P. Knijnenburg, Edward C. Malthouse

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

Prompt-Based Generative News Recommendation (PGNR): Accuracy and Controllability.

Xinyi Li, Yongfeng Zhang, Edward C. Malthouse

Proceedings of the Advances in Information Retrieval, 2024

Large Language Model Agentic Approach to Fact Checking and Fake News Detection.

Xinyi Li, Yongfeng Zhang, Edward C. Malthouse

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Exploring Fine-tuning ChatGPT for News Recommendation.

Xinyi Li, Yongfeng Zhang, Edward C. Malthouse

CoRR, 2023

A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News.

Xinyi Li, Yongfeng Zhang, Edward C. Malthouse

CoRR, 2023

PBNR: Prompt-based News Recommender System.

Xinyi Li, Yongfeng Zhang, Edward C. Malthouse

CoRR, 2023

A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, and Fake News.

Xinyi Li, Yongfeng Zhang, Edward C. Malthouse

Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

The 10th International Workshop on News Recommendation and Analytics (INRA 2022).

Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Jon Atle Gulla, Edward C. Malthouse

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Benchmark for Text Classification in News Recommendations.

Xinyi Li, Edward C. Malthouse

Proceedings of the Joint Proceedings of the 10th International Workshop on News Recommendation and Analytics (INRA 2022) and the 3rd International Workshop on Investigating Learning During Web Search (IWILDS 2022) co-located with 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), 2022

Making Smart Recommendations for Perishable and Stockout Products.

Sinan Seymen, Anna-Lena Sachs, Edward C. Malthouse

Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

An Interpretable Neural Network Model for Bundle Recommendations: Doctoral Symposium, Extended Abstract.

Xinyi Li, Edward C. Malthouse

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

2021

Coefficient tree regression for generalized linear models.

Özge Sürer, Daniel W. Apley, Edward C. Malthouse

Stat. Anal. Data Min., 2021

Toward the Next Generation of News Recommender Systems.

Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert

Proceedings of the Companion of The Web Conference 2021, 2021

User-centered Evaluation of Popularity Bias in Recommender Systems.

Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

A Unified Optimization Toolbox for Solving Popularity Bias, Fairness, and Diversity in Recommender Systems.

Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse

Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

A Constrained Optimization Approach for Calibrated Recommendations.

Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Toward the Next Generation of News Recommender Systems (Abstract).

Edward C. Malthouse

Proceedings of the Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Towards an Experimental News User Community as Infrastructure for Recommendation Research (abstract).

Joseph A. Konstan, Robin Burke, Edward C. Malthouse

Proceedings of the 9th International Workshop on News Recommendation and Analytics (INRA 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

2019

A Multistakeholder Recommender Systems Algorithm for Allocating Sponsored Recommendations.

Edward C. Malthouse, Khadija Ali Vakeel, Yasaman Kamyab Hessary, Robin Burke, Morana Fuduric

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

RMSE: Workshop on Recommendation in Multi-stakeholder Environments.

Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Recommendation in multistakeholder environments.

Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018

Multistakeholder recommendation with provider constraints.

Özge Sürer, Robin Burke, Edward C. Malthouse

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2017

Do customer reviews drive purchase decisions? The moderating roles of review exposure and price.

Ewa Maslowska, Edward C. Malthouse, Vijay Viswanathan

Decis. Support Syst., 2017

Understanding and overcoming biases in online review systems.

Georgios Askalidis, Su Jung Kim, Edward C. Malthouse

Decis. Support Syst., 2017

2016

Understanding and Overcoming Biases in Customer Reviews.

Georgios Askalidis, Edward C. Malthouse

CoRR, 2016

"Understanding a fury in your words": The effects of posting and viewing electronic negative word-of-mouth on purchase behaviors.

Su Jung Kim, Rebecca Jen-Hui Wang, Ewa Maslowska, Edward C. Malthouse

Comput. Hum. Behav., 2016

The Value of Online Customer Reviews.

Georgios Askalidis, Edward C. Malthouse

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2012

Media consumption across platforms: Identifying user-defined repertoires.

Harsh Taneja, James G. Webster, Edward C. Malthouse, Thomas Ksiazek

New Media Soc., 2012

Optimal selection of media vehicles using customer databases.

Edward C. Malthouse, Dingxi Qiu, Jie Xu

Expert Syst. Appl., 2012

2010

Accounting for the long-term effects of a marketing contact.

Edward C. Malthouse

Expert Syst. Appl., 2010

2009

Cluster Analysis with General Latent Class Model.

Dingxi Qiu, Edward C. Malthouse

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Quantifying the indirect effects of a marketing contact.

Dingxi Qiu, Edward C. Malthouse

Expert Syst. Appl., 2009

2007

Mining for trigger events with survival analysis.

Edward C. Malthouse

Data Min. Knowl. Discov., 2007

1998

Limitations of nonlinear PCA as performed with generic neural networks.

Edward C. Malthouse

IEEE Trans. Neural Networks, 1998