Edward C. Malthouse

44 papers A* 1A 8Journal 22Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Optimising customer equity through engagement. J. Oper. Res. Soc. Yayu Zhou, Edward C. Malthouse, Barry L. Nelson
2024	J	`jnl`	Coefficient tree regression: fast, accurate and interpretable predictive modeling. Mach. Learn. Özge Sürer, Daniel W. Apley, Edward C. Malthouse
2024	A	`conf`	Conducting User Experiments in Recommender Systems. RecSys Bart P. Knijnenburg, Edward C. Malthouse
2024	J	`jnl`	Discovering interpretable structure in longitudinal predictors via coefficient trees. Adv. Data Anal. Classif. Özge Sürer, Daniel W. Apley, Edward C. Malthouse
2024	J	`jnl`	Fifth Generation IMC: Expanding the scope to Profit, People, and the Planet. CoRR Stewart Pearson, Edward C. Malthouse
2024	J	`jnl`	Large Language Model Agent for Fake News Detection. CoRR Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
2024	A	`conf`	Large Language Model Agentic Approach to Fact Checking and Fake News Detection. ECAI Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
2024	J	`jnl`	Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures. CoRR Xinyi Li, Yu Xu, Yongfeng Zhang, Edward C. Malthouse
2024	—	`conf`	Prompt-Based Generative News Recommendation (PGNR): Accuracy and Controllability. ECIR (2) Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
2023	J	`jnl`	A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News. CoRR Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
2023	—	`conf`	A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, and Fake News. INRA@RecSys Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
2023	J	`jnl`	Exploring Fine-tuning ChatGPT for News Recommendation. CoRR Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
2023	—	`ed.`	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), Madrid, Spain, July 15, 2022. INRA/IWILDS@SIGIR Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Edward C. Malthouse, Jon Atle Gulla, Anett Hoppe, Ran Yu, Jiqun Liu
2023	J	`jnl`	PBNR: Prompt-based News Recommender System. CoRR Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
2022	—	`conf`	A Benchmark for Text Classification in News Recommendations. INRA/IWILDS@SIGIR Xinyi Li, Edward C. Malthouse
2022	A	`conf`	An Interpretable Neural Network Model for Bundle Recommendations: Doctoral Symposium, Extended Abstract. RecSys Xinyi Li, Edward C. Malthouse
2022	—	`conf`	Making Smart Recommendations for Perishable and Stockout Products. MORS@RecSys Sinan Seymen, Anna-Lena Sachs, Edward C. Malthouse
2022	A*	`conf`	The 10th International Workshop on News Recommendation and Analytics (INRA 2022). SIGIR Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Jon Atle Gulla, Edward C. Malthouse
2021	A	`conf`	A Constrained Optimization Approach for Calibrated Recommendations. RecSys Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse
2021	—	`conf`	A Unified Optimization Toolbox for Solving Popularity Bias, Fairness, and Diversity in Recommender Systems. MORS@RecSys Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse
2021	J	`jnl`	Coefficient tree regression for generalized linear models. Stat. Anal. Data Min. Özge Sürer, Daniel W. Apley, Edward C. Malthouse
2021	—	`conf`	Toward the Next Generation of News Recommender Systems (Abstract). KaRS/ComplexRec@RecSys Edward C. Malthouse
2021	—	`conf`	Toward the Next Generation of News Recommender Systems. WWW (Companion Volume) Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert
2021	J	`jnl`	Toward the Next Generation of News Recommender Systems. CoRR Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert
2021	—	`conf`	Towards an Experimental News User Community as Infrastructure for Recommendation Research (abstract). INRA@RecSys Joseph A. Konstan, Robin Burke, Edward C. Malthouse
2021	A	`conf`	User-centered Evaluation of Popularity Bias in Recommender Systems. UMAP Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse
2021	J	`jnl`	User-centered Evaluation of Popularity Bias in Recommender Systems. CoRR Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse
2019	—	`conf`	A Multistakeholder Recommender Systems Algorithm for Allocating Sponsored Recommendations. RMSE@RecSys Edward C. Malthouse, Khadija Ali Vakeel, Yasaman Kamyab Hessary, Robin Burke, Morana Fuduric
2019	—	`ed.`	Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, September 20, 2019. RMSE@RecSys Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang
2019	—	`conf`	RMSE: Workshop on Recommendation in Multi-stakeholder Environments. RMSE@RecSys Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang
2019	A	`conf`	Recommendation in multistakeholder environments. RecSys Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang
2018	A	`conf`	Multistakeholder recommendation with provider constraints. RecSys Özge Sürer, Robin Burke, Edward C. Malthouse
2017	J	`jnl`	Do customer reviews drive purchase decisions? The moderating roles of review exposure and price. Decis. Support Syst. Ewa Maslowska, Edward C. Malthouse, Vijay Viswanathan
2017	J	`jnl`	Understanding and overcoming biases in online review systems. Decis. Support Syst. Georgios Askalidis, Su Jung Kim, Edward C. Malthouse
2016	J	`jnl`	"Understanding a fury in your words": The effects of posting and viewing electronic negative word-of-mouth on purchase behaviors. Comput. Hum. Behav. Su Jung Kim, Rebecca Jen-Hui Wang, Ewa Maslowska, Edward C. Malthouse
2016	A	`conf`	The Value of Online Customer Reviews. RecSys Georgios Askalidis, Edward C. Malthouse
2016	J	`jnl`	Understanding and Overcoming Biases in Customer Reviews. CoRR Georgios Askalidis, Edward C. Malthouse
2012	J	`jnl`	Media consumption across platforms: Identifying user-defined repertoires. New Media Soc. Harsh Taneja, James G. Webster, Edward C. Malthouse, Thomas Ksiazek
2012	J	`jnl`	Optimal selection of media vehicles using customer databases. Expert Syst. Appl. Edward C. Malthouse, Dingxi Qiu, Jie Xu
2010	J	`jnl`	Accounting for the long-term effects of a marketing contact. Expert Syst. Appl. Edward C. Malthouse
2009	—	`ch.`	Cluster Analysis with General Latent Class Model. Encyclopedia of Data Warehousing and Mining Dingxi Qiu, Edward C. Malthouse
2009	J	`jnl`	Quantifying the indirect effects of a marketing contact. Expert Syst. Appl. Dingxi Qiu, Edward C. Malthouse
2007	J	`jnl`	Mining for trigger events with survival analysis. Data Min. Knowl. Discov. Edward C. Malthouse
1998	J	`jnl`	Limitations of nonlinear PCA as performed with generic neural networks. IEEE Trans. Neural Networks Edward C. Malthouse