Fernando Benjamín Pérez Maurera

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All published works

Action	Title	Year	Authors
+	Impression-Aware Recommender Systems	2025	Fernando Benjamín Pérez Maurera Maurizio Ferrari Dacrema Pablo Castells Paolo Cremonesi
+	Impression-Aware Recommender Systems	2023	Fernando Benjamín Pérez Maurera Maurizio Ferrari Dacrema Pablo Castells Paolo Cremonesi
+	An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering	2022	Fernando Benjamín Pérez Maurera Maurizio Ferrari Dacrema Paolo Cremonesi
+ PDF Chat	An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering	2022	Fernando Benjamín Pérez Maurera Maurizio Ferrari Dacrema Paolo Cremonesi
+ PDF Chat	ContentWise Impressions	2020	Fernando Benjamín Pérez Maurera Maurizio Ferrari Dacrema Lorenzo Saule Mario Scriminaci Paolo Cremonesi
+ PDF Chat	ContentWise Impressions: An Industrial Dataset with Impressions Included	2020	Fernando Benjamín Pérez Maurera Maurizio Ferrari Dacrema Lorenzo Saule Mario Scriminaci Paolo Cremonesi

Common Coauthors

Coauthor	Papers Together
Paolo Cremonesi	6
Maurizio Ferrari Dacrema	6
Mario Scriminaci	2
Pablo Castells	2
Lorenzo Saule	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research	2021	Maurizio Ferrari Dacrema Simone Boglio Paolo Cremonesi Dietmar Jannach	5
+ PDF Chat	Are we really making much progress? A worrying analysis of recent neural recommendation approaches	2019	Maurizio Ferrari Dacrema Paolo Cremonesi Dietmar Jannach	4
+	BPR: Bayesian Personalized Ranking from Implicit Feedback	2012	Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme	3
+ PDF Chat	Analyzing and Improving the Image Quality of StyleGAN	2020	Tero Karras Samuli Laine Miika Aittala Janne Hellsten Jaakko Lehtinen Timo Aila	2
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	2
+ PDF Chat	Generative adversarial networks	2020	Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio	2
+ PDF Chat	IRGAN	2017	Jun Wang Lantao Yu Weinan Zhang Yu Gong Yinghui Xu Benyou Wang Peng Zhang Dell Zhang	2
+	On Model Stability as a Function of Random Seed	2019	Pranava Madhyastha Rishabh Jain	2
+ PDF Chat	Generative Adversarial Networks: An Overview	2018	Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran Biswa Sengupta Anil A. Bharath	2
+ PDF Chat	Critically Examining the "Neural Hype"	2019	Wei Yang Kuang Lu Peilin Yang Jimmy Lin	2
+ PDF Chat	Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario	2018	Sebastiano Antenucci Simone Boglio Emanuele Chioso Ervin Dervishaj Shuwen Kang Tommaso Scarlatti Maurizio Ferrari Dacrema	2
+	A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning	2010	Eric Brochu Vlad M. Cora Nando de Freitas	2
+ PDF Chat	An Introduction to Variational Autoencoders	2019	Diederik P. Kingma Max Welling	2
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	2
+ PDF Chat	Solving the apparent diversity-accuracy dilemma of recommender systems	2010	Tao Zhou Zoltán Kuscsik Jian-Guo Liu Matúš Medo Joseph Wakeling Yicheng Zhang	2
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	2
+ PDF Chat	Pros and cons of GAN evaluation measures	2018	Ali Borji	2
+ PDF Chat	Troubling Trends in Machine Learning Scholarship	2019	Zachary C. Lipton Jacob Steinhardt	2
+ PDF Chat	Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation	2022	Ruohan Zhan Changhua Pei Qiang Su Jianfeng Wen Xueliang Wang Guanyu Mu Dong Zheng Peng Jiang Kun Gai	1
+ PDF Chat	RecSys Challenge 2016	2016	Andrzej Pacuk Piotr Sankowski Karol Węgrzycki Adam Witkowski Piotr Wygocki	1
+ PDF Chat	KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging	2022	Yujing Zhang Zhangming Chan Shuhao Xu Weijie Bian Shuguang Han Hongbo Deng Bo Zheng	1
+ PDF Chat	Real-time Short Video Recommendation on Mobile Devices	2022	Xudong Gong Qinlin Feng Yuan Zhang Jiangling Qin Weijie Ding Biao Li Peng Jiang Kun Gai	1
+ PDF Chat	On the User Behavior Leakage from Recommender System Exposure	2022	Xin Xin Jiyuan Yang Hanbing Wang Jun Ma Pengjie Ren Hengliang Luo Xinlei Shi Zhumin Chen Zhaochun Ren	1
+	Generative Slate Recommendation with Reinforcement Learning	2023	Romain Deffayet Thibaut Thonet Jean-Michel Renders Maarten de Rijke	1
+	A Bird's-eye View of Reranking: From List Level to Page Level	2023	Yunjia Xi Jianghao Lin Weiwen Liu Xinyi Dai Weinan Zhang Rui Zhang Ruiming Tang Yong Yu	1
+	Slate-Aware Ranking for Recommendation	2023	Yi Ren Xiao Han Xu Zhao Shenzheng Zhang Yan Zhang	1
+	Controllable Multi-Objective Re-ranking with Policy Hypernetworks	2023	Sirui Chen Yuan Wang Zijing Wen Zhiyu Li Changshuo Zhang Xiao Zhang Quan Lin Cheng Zhu Jun Xu	1
+	Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey	2023	Bonan Min Hayley Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heintz Dan Roth	1
+ PDF Chat	Take a Fresh Look at Recommender Systems from an Evaluation Standpoint	2023	Aixin Sun	1
+ PDF Chat	RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System	2023	Kai Wang Zhene Zou Minghao Zhao Qilin Deng 悦雄水上 Yile Liang Runze Wu Xudong Shen Tangjie Lyu Changjie Fan	1
+ PDF Chat	Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation	2023	Xiao Mei Lin Xiaokai Chen Linfeng Song J. L. Liu Biao Li Peng Jiang	1
+	BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction	2023	Dong Wang Kavé Salamatian Yunqing Xia Weiwei Deng Qi Zhang	1
+	Debiasing Recommendation by Learning Identifiable Latent Confounders	2023	Qing Zhang Xiaoying Zhang Yang Liu Hongning Wang Min Gao Jiheng Zhang Ruocheng Guo	1
+ PDF Chat	Modeling User Exposure in Recommendation	2016	Dawen Liang Laurent Charlin James O. McInerney David M. Blei	1
+ PDF Chat	Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems	2023	Guanglin Zhou Chengkai Huang Xiaocong Chen Xiwei Xu Chen Wang Liming Zhu Lina Yao	1
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	1
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	1
+ PDF Chat	Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms	2011	Lihong Li Wei Chu John Langford Xuanhui Wang	1
+ PDF Chat	Top-K Off-Policy Correction for a REINFORCE Recommender System	2019	Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H.	1
+ PDF Chat	Collaborative Filtering Bandits	2016	Shuai Li Alexandros Karatzoglou Claudio Gentile	1
+ PDF Chat	Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native	2019	Michal Aharon Yohay Kaplan Rina Levy Oren Somekh Ayelet Blanc Neetai Eshel Avi Shahar Assaf Singer Alex Zlotnik	1
+ PDF Chat	Bias and Debias in Recommender System: A Survey and Future Directions	2022	Jiawei Chen Hande Dong Xiang Wang Fuli Feng Meng Wang Xiangnan He	1
+ PDF Chat	Reinforcement Learning based Recommender Systems: A Survey	2022	M. Mehdi Afsar Trafford Crump Behrouz H. Far	1
+ PDF Chat	User Response Prediction in Online Advertising	2021	Zhabiz Gharibshah Xingquan Zhu	1
+ PDF Chat	FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research	2021	Simen Eide David S. Leslie Arnoldo Frigessi Joakim Rishaug Helge Kristian Jenssen Sofie Verrewaere	1
+ PDF Chat	Click-through rate prediction in online advertising: A literature review	2022	Yanwu Yang Panyu Zhai	1
+ PDF Chat	Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning	2022	Yingqiang Ge Xiaoting Zhao Lucia Yu Saurabh Paul Diane Hu Chu-Cheng Hsieh Yongfeng Zhang	1
+ PDF Chat	Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation	2022	Qijie Shen Hong Wen Wanjie Tao Jing Zhang Fuyu Lv Zulong Chen Zhao Li	1
+ PDF Chat	ESCM2	2022	Hao Wang Tai-Wei Chang Tianqiao Liu Jianmin Huang Zhichao Chen Chao Yu Ruopeng Li Wei Chu	1
+ PDF Chat	Positive, Negative and Neutral	2022	Shansan Gong Kenny Q. Zhu	1