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Edward C. Malthouse
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2020 – today
- 2024
- [j11]Özge Sürer
, Daniel W. Apley, Edward C. Malthouse:
Coefficient tree regression: fast, accurate and interpretable predictive modeling. Mach. Learn. 113(7): 4723-4759 (2024) - [c17]Xinyi Li
, Yongfeng Zhang
, Edward C. Malthouse
:
Prompt-Based Generative News Recommendation (PGNR): Accuracy and Controllability. ECIR (2) 2024: 66-79 - [i8]Stewart Pearson, Edward C. Malthouse:
Fifth Generation IMC: Expanding the scope to Profit, People, and the Planet. CoRR abs/2404.04740 (2024) - [i7]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
Large Language Model Agent for Fake News Detection. CoRR abs/2405.01593 (2024) - 2023
- [c16]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, and Fake News. INRA@RecSys 2023 - [e2]Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Edward C. Malthouse, Jon Atle Gulla, Anett Hoppe, Ran Yu, Jiqun Liu:
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. CEUR Workshop Proceedings 3411, CEUR-WS.org 2023 [contents] - [i6]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
PBNR: Prompt-based News Recommender System. CoRR abs/2304.07862 (2023) - [i5]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News. CoRR abs/2306.10702 (2023) - [i4]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
Exploring Fine-tuning ChatGPT for News Recommendation. CoRR abs/2311.05850 (2023) - 2022
- [c15]Xinyi Li, Edward C. Malthouse:
An Interpretable Neural Network Model for Bundle Recommendations: Doctoral Symposium, Extended Abstract. RecSys 2022: 722-723 - [c14]Sinan Seymen, Anna-Lena Sachs, Edward C. Malthouse:
Making Smart Recommendations for Perishable and Stockout Products. MORS@RecSys 2022 - [c13]Xinyi Li, Edward C. Malthouse:
A Benchmark for Text Classification in News Recommendations. INRA/IWILDS@SIGIR 2022: 28-37 - [c12]Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Jon Atle Gulla, Edward C. Malthouse:
The 10th International Workshop on News Recommendation and Analytics (INRA 2022). SIGIR 2022: 3470-3473 - 2021
- [j10]Özge Sürer
, Daniel W. Apley, Edward C. Malthouse:
Coefficient tree regression for generalized linear models. Stat. Anal. Data Min. 14(5): 407-429 (2021) - [c11]Joseph A. Konstan, Robin Burke, Edward C. Malthouse:
Towards an Experimental News User Community as Infrastructure for Recommendation Research (abstract). INRA@RecSys 2021: 43-46 - [c10]Edward C. Malthouse:
Toward the Next Generation of News Recommender Systems (Abstract). KaRS/ComplexRec@RecSys 2021 - [c9]Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse:
A Constrained Optimization Approach for Calibrated Recommendations. RecSys 2021: 607-612 - [c8]Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse:
A Unified Optimization Toolbox for Solving Popularity Bias, Fairness, and Diversity in Recommender Systems. MORS@RecSys 2021 - [c7]Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
, Edward C. Malthouse:
User-centered Evaluation of Popularity Bias in Recommender Systems. UMAP 2021: 119-129 - [c6]Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan
, Bamshad Mobasher
, Jeremy Gilbert:
Toward the Next Generation of News Recommender Systems. WWW (Companion Volume) 2021: 402-406 - [i3]Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse:
User-centered Evaluation of Popularity Bias in Recommender Systems. CoRR abs/2103.06364 (2021) - [i2]Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert:
Toward the Next Generation of News Recommender Systems. CoRR abs/2103.06909 (2021)
2010 – 2019
- 2019
- [c5]Robin Burke
, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang:
Recommendation in multistakeholder environments. RecSys 2019: 566-567 - [c4]Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang:
RMSE: Workshop on Recommendation in Multi-stakeholder Environments. RMSE@RecSys 2019 - [c3]Edward C. Malthouse, Khadija Ali Vakeel, Yasaman Kamyab Hessary, Robin Burke, Morana Fuduric:
A Multistakeholder Recommender Systems Algorithm for Allocating Sponsored Recommendations. RMSE@RecSys 2019 - [e1]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), Copenhagen, Denmark, September 20, 2019. CEUR Workshop Proceedings 2440, CEUR-WS.org 2019 [contents] - 2018
- [c2]Özge Sürer, Robin Burke
, Edward C. Malthouse:
Multistakeholder recommendation with provider constraints. RecSys 2018: 54-62 - 2017
- [j9]Georgios Askalidis, Su Jung Kim
, Edward C. Malthouse
:
Understanding and overcoming biases in online review systems. Decis. Support Syst. 97: 23-30 (2017) - [j8]Ewa Maslowska, Edward C. Malthouse
, Vijay Viswanathan
:
Do customer reviews drive purchase decisions? The moderating roles of review exposure and price. Decis. Support Syst. 98: 1-9 (2017) - 2016
- [j7]Su Jung Kim
, Rebecca Jen-Hui Wang
, Ewa Maslowska, Edward C. Malthouse
:
"Understanding a fury in your words": The effects of posting and viewing electronic negative word-of-mouth on purchase behaviors. Comput. Hum. Behav. 54: 511-521 (2016) - [c1]Georgios Askalidis, Edward C. Malthouse
:
The Value of Online Customer Reviews. RecSys 2016: 155-158 - [i1]Georgios Askalidis, Edward C. Malthouse:
Understanding and Overcoming Biases in Customer Reviews. CoRR abs/1604.00417 (2016) - 2012
- [j6]Edward C. Malthouse
, Dingxi Qiu, Jie Xu:
Optimal selection of media vehicles using customer databases. Expert Syst. Appl. 39(17): 13035-13045 (2012) - [j5]Harsh Taneja
, James G. Webster, Edward C. Malthouse
, Thomas Ksiazek:
Media consumption across platforms: Identifying user-defined repertoires. New Media Soc. 14(6): 951-968 (2012) - 2010
- [j4]Edward C. Malthouse
:
Accounting for the long-term effects of a marketing contact. Expert Syst. Appl. 37(7): 4935-4940 (2010)
2000 – 2009
- 2009
- [j3]Dingxi Qiu, Edward C. Malthouse
:
Quantifying the indirect effects of a marketing contact. Expert Syst. Appl. 36(3): 6446-6452 (2009) - [r1]Dingxi Qiu, Edward C. Malthouse:
Cluster Analysis with General Latent Class Model. Encyclopedia of Data Warehousing and Mining 2009: 225-230 - 2007
- [j2]Edward C. Malthouse
:
Mining for trigger events with survival analysis. Data Min. Knowl. Discov. 15(3): 383-402 (2007)
1990 – 1999
- 1998
- [j1]Edward C. Malthouse
:
Limitations of nonlinear PCA as performed with generic neural networks. IEEE Trans. Neural Networks 9(1): 165-173 (1998)
Coauthor Index
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last updated on 2024-08-05 20:15 CEST by the dblp team
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