Search results for "recommendations"

Hits ?▲	Authors	Title	Venue	Year	Link
9	Aditeya Pandey, Arjun Srinivasan, Vidya Setlur	M: Intent-based Recommendations to Support Dashboard Composition.	IEEE Trans. Vis. Comput. Graph.	2023	DBLP DOI BibTeX RDF
9	Jeyamohan Neera 0001, Xiaomin Chen, Nauman Aslam, Kezhi Wang, Zhan Shu	Private and Utility Enhanced Recommendations With Local Differential Privacy and Gaussian Mixture Model.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
9	Lei Chen 0072, Fajie Yuan, Jiaxi Yang, Xiangnan He 0001, Chengming Li, Min Yang 0007	User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
9	Pan Li 0008, Alexander Tuzhilin	Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
9	Wenchao Sun, Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Zhaochun Ren, Jun Ma 0001, Maarten de Rijke	Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
9	Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei 0002	CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
9	Feng Zhu 0011, Yan Wang 0002, Jun Zhou 0011, Chaochao Chen 0001, Longfei Li, Guanfeng Liu 0001	A Unified Framework for Cross-Domain and Cross-System Recommendations.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
9	Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao 0004	LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
9	Irina Rets, Christothea Herodotou, Anna Gillespie	Six Practical Recommendations Enabling Ethical Use of Predictive Learning Analytics in Distance Education.	J. Learn. Anal.	2023	DBLP DOI BibTeX RDF
9	Egle Gedrimiene, Ismail Celik, Kati Mäkitalo, Hanni Muukkonen	Transparency and Trustworthiness in User Intentions to Follow Career Recommendations from a Learning Analytics Tool.	J. Learn. Anal.	2023	DBLP DOI BibTeX RDF
9	Jin Tian 0005, Xiaoyu Shi, Minqiang Li	Price-aware matrix factorization model for personalized recommendations.	Inf. Manag.	2023	DBLP DOI BibTeX RDF
9	Jonathan Hvithamar Rystrøm	An Offer you Cannot Refuse? Trends in the Coerciveness of Amazon Book Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Muyang Li, Zijian Zhang 0009, Xiangyu Zhao 0001, Wanyu Wang, Minghao Zhao 0002, Runze Wu, Ruocheng Guo	AutoMLP: Automated MLP for Sequential Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Mimee Xu, Jiankai Sun, Xin Yang 0017, Kevin Yao, Chong Wang 0002	Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Ghazaleh Haratinezhad Torbati, Anna Tigunova, Andrew Yates, Gerhard Weikum	Recommendations by Concise User Profiles from Review Text.	CoRR	2023	DBLP DOI BibTeX RDF
9	David A. Clunie, Adam E. Flanders, Adam Taylor, Bradley James Erickson, Brian Bialecki, David Brundage, David Gutman, Fred W. Prior, J. Anthony Seibert, John H. Perry, Judy Wawira Gichoya, Justin S. Kirby, Katherine P. Andriole, Luke Geneslaw, Steve Moore, TJ Fitzgerald, Wyatt M. Tellis, Ying Xiao, Keyvan Farahani	Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Timo Wilm, Philipp Normann, Sophie Baumeister, Paul-Vincent Kobow	Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions.	CoRR	2023	DBLP DOI BibTeX RDF
9	Sanat Sharma, Jayant Kumar, Jing Zheng, Tracy Holloway King	Contextual Font Recommendations based on User Intent.	CoRR	2023	DBLP DOI BibTeX RDF
9	Markus Hofbauer, Christoph Bachhuber, Christopher B. Kuhn, Sebastian Schwarz, Bart Kroon, Eckehard G. Steinbach	Large-Scale Collaborative Writing: Technical Challenges and Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Mosab Rezaei, Hamed Alhoori, Mona Rahimi	Test Case Recommendations with Distributed Representation of Code Syntactic Features.	CoRR	2023	DBLP DOI BibTeX RDF
9	Arpit Agarwal, William Brown	Online Recommendations for Agents with Discounted Adaptive Preferences.	CoRR	2023	DBLP DOI BibTeX RDF
9	Juan Pablo Equihua, Maged Ali, Henrik Nordmark, Berthold Lausen	Sequence-aware item recommendations for multiply repeated user-item interactions.	CoRR	2023	DBLP DOI BibTeX RDF
9	Alicia Parrish, Sarah Laszlo, Lora Aroyo	"Is a picture of a bird a bird": Policy recommendations for dealing with ambiguity in machine vision models.	CoRR	2023	DBLP DOI BibTeX RDF
9	Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin, Jeremy M. Kahn, Adam Perer	Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care.	CoRR	2023	DBLP DOI BibTeX RDF
9	Sajjad Rahmani, AmirHossein Naghshzan, Latifa Guerrouj	Improving Code Example Recommendations on Informal Documentation Using BERT and Query-Aware LSH: A Comparative Study.	CoRR	2023	DBLP DOI BibTeX RDF
9	Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Danish Kalim, Aleksei Ustimenko, Christopher Green, Wenzhe Shi, Rishabh Mehrotra	On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat.	CoRR	2023	DBLP DOI BibTeX RDF
9	Xu Huang 0008, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie 0001	Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jon M. Kleinberg, Emily Ryu, Éva Tardos	Calibrated Recommendations for Users with Decaying Attention.	CoRR	2023	DBLP DOI BibTeX RDF
9	Lucas Maystre, Daniel Russo 0001, Yu Zhao	Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yimeng Bai, Yang Zhang 0072, Jing Lu, Jianxin Chang, Xiaoxue Zang, Yanan Niu, Yang Song, Fuli Feng	LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting.	CoRR	2023	DBLP DOI BibTeX RDF
9	Abhishek Jaiswal, Gautam Chauhan, Nisheeth Srivastava	Using Learnable Physics for Real-Time Exercise Form Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li	Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang 0006, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang 0001	Xpert: Empowering Incident Management with Query Recommendations via Large Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
9	Preetam Ghosh, Vaishali Sadaphal	JobRecoGPT - Explainable job recommendations using LLMs.	CoRR	2023	DBLP DOI BibTeX RDF
9	David Liu, Jackie Baek, Tina Eliassi-Rad	When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Krishna Ronanki, Beatriz Cabrero Daniel, Jennifer Horkoff, Christian Berger 0001	RE-centric Recommendations for the Development of Trustworthy(er) Autonomous Systems.	CoRR	2023	DBLP DOI BibTeX RDF
9	Federica Cena, Cristina Gena, Claudio Mattutino, Michele Mioli, Fabiana Vernero	From psychological traits to safety warnings: three studies on recommendations in a smart home environment.	CoRR	2023	DBLP DOI BibTeX RDF
9	Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo 0001	PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jinfeng Zhong, Elsa Negre	Context-aware explainable recommendations over knowledge graphs.	CoRR	2023	DBLP DOI BibTeX RDF
9	Cedric Derstroff, Mattia Cerrato, Jannis Brugger, Jan Peters 0001, Stefan Kramer 0001	Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Qi Liu, Enhong Chen	Unlocking the Potential of Large Language Models for Explainable Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Allegra Laro, Yanqing Chen, Hao He, Babak Aghazadeh	Randomized algorithms for precise measurement of differentially-private, personalized recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Edoardo D'Amico, Khalil Muhammad, Elias Z. Tragos, Barry Smyth, Neil Hurley, Aonghus Lawlor	Item Graph Convolution Collaborative Filtering for Inductive Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Dimitra Tsigkari, George Iosifidis, Thrasyvoulos Spyropoulos	Quid pro Quo in Streaming Services: Algorithms for Cooperative Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Rachel M. Harrison, Anton Dereventsov, Anton Bibin	Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging.	CoRR	2023	DBLP DOI BibTeX RDF
9	Han Zhang, Shangen Lu, Yixin Wang, Mihaela Curmei	Delayed and Indirect Impacts of Link Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Stefan Tatschner, Sebastian N. Peters, David Emeis, John Morris, Thomas Newe	A Quic(k) Security Overview: A Literature Research on Implemented Security Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Hasan Abu-Rasheed, Christian Weber 0003, Madjid Fathi	Context based learning: a survey of contextual indicators for personalized and adaptive learning recommendations. A pedagogical and technical perspective.	CoRR	2023	DBLP DOI BibTeX RDF
9	Belhassen Bayar, Phanideep Gampa, Ainur Yessenalina, Zhen Wen	Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald	Uptrendz: API-Centric Real-time Recommendations in Multi-Domain Settings.	CoRR	2023	DBLP DOI BibTeX RDF
9	Salah Ghamizi, Maxime Cordy, Yuejun Guo 0001, Mike Papadakis, Yves Le Traon	Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf 0001	Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics.	CoRR	2023	DBLP DOI BibTeX RDF
9	Patrik Dokoupil, Ladislav Peska, Ludovico Boratto	Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Xiaoying Zhang, Hongning Wang, Hang Li 0001	Disentangled Representation for Diversified Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Junyi Chen	A Survey on Large Language Models for Personalized and Explainable Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Sheshera Mysore, Andrew McCallum, Hamed Zamani	Large Language Model Augmented Narrative Driven Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong 0001	Generative Job Recommendations with Large Language Model.	CoRR	2023	DBLP DOI BibTeX RDF
9	Amit Pande, Kunal Ghosh, Rankyung Park	Personalized Category Frequency prediction for Buy It Again recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Norman Knyazev, Harrie Oosterhuis	A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman, María Pérez-Ortiz 0001, Sahan Bulathwela	TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback.	CoRR	2023	DBLP DOI BibTeX RDF
9	Riccardo Fogliato, Pratik Patil, Pietro Perona	Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Bjørnar Vassøy, Helge Langseth, Benjamin Kille	Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders.	CoRR	2023	DBLP DOI BibTeX RDF
9	Kadir Sabanci, Mumin Cebe	Exploring Post-Quantum Cryptographic Schemes for TLS in 5G Nb-IoT: Feasibility and Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Xianghong Xu 0001, Zhibing Zhao, Tieying Zhang, Rong Kang, Luming Sun, Jianjun Chen 0001	COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Manolis Remountakis, Konstantinos Kotis, Babis Kourtzis, George E. Tsekouras	ChatGPT and Persuasive Technologies for the Management and Delivery of Personalized Recommendations in Hotel Hospitality.	CoRR	2023	DBLP DOI BibTeX RDF
9	Abel Salinas, Parth Vipul Shah, Yuzhong Huang, Robert McCormack, Fred Morstatter	The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Danwei Li, Zhengyu Zhang, Siyang Yuan, Mingze Gao, Weilin Zhang, Chaofei Yang, Xi Liu, Jiyan Yang	AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu	Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Mengyan Wang, Yuxuan Hu, Zihan Yuan, Chenting Jiang, Weihua Li 0007, Shiqing Wu, Quan Bai	BHEISR: Nudging from Bias to Balance - Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jeroen Ooge, Leen Dereu, Katrien Verbert	Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms.	CoRR	2023	DBLP DOI BibTeX RDF
9	Eunkyu Oh, Taehun Kim	TempGNN: Temporal Graph Neural Networks for Dynamic Session-Based Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie 0001	Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Phanideep Gampa, Farnoosh Javadi, Belhassen Bayar, Ainur Yessenalina	Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Zhihang Yu, Shu Wang, Yunqiang Zhu, Wen Yuan, Xiaoliang Dai, Zhiqiang Zou	Unveiling Optimal SDG Pathways: An Innovative Approach Leveraging Graph Pruning and Intent Graph for Effective Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Riccardo Albertoni, Sara Colantonio, Piotr Skrzypczynski, Jerzy Stefanowski	Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jakub Raczynski, Mateusz Lango, Jerzy Stefanowski	The Problem of Coherence in Natural Language Explanations of Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Yanbang Wang, Jon M. Kleinberg	On the Relationship Between Relevance and Conflict in Online Social Link Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Anima Singh, Trung Vu, Raghunandan H. Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed H. Chi, Maheswaran Sathiamoorthy	Better Generalization with Semantic IDs: A case study in Ranking for Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Murthy V. Devarakonda, Smita Mohanty, Raja Rao Sunkishala, Nag Mallampalli, Xiong Liu 0001	Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings.	CoRR	2023	DBLP DOI BibTeX RDF
9	Zehua Zeng, Junran Yang, Dominik Moritz, Jeffrey Heer, Leilani Battle	Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco.	CoRR	2023	DBLP DOI BibTeX RDF
9	Vibhoothi, Angeliki Katsenou, John Squires, François Pitié, Anil C. Kokaram	Recommendations for Verifying HDR Subjective Testing Workflows.	CoRR	2023	DBLP DOI BibTeX RDF
9	Jonas Fritzsch, Marvin Wyrich, Justus Bogner, Stefan Wagner 0001	Resist the Hype! Practical Recommendations to Cope With Résumé-Driven Development.	CoRR	2023	DBLP DOI BibTeX RDF
9	Xueyan Tang, Lingzhi Shi, Alan Lai, Yuying Du, Jing Deng, Jialu Fu, Jiayi Li	Smart Contract Migration: Security Analysis and Recommendations from Ethereum to Arbitrum.	CoRR	2023	DBLP DOI BibTeX RDF
9	Rohan Madhwal, Johan Pouwelse	Web3Recommend: Decentralised recommendations with trust and relevance.	CoRR	2023	DBLP DOI BibTeX RDF
9	Pannagadatta Shivaswamy	ExCalibR: Expected Calibration of Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Dominik Meier, Ipek Ensari, Stefan Konigorski	Designing and evaluating an online reinforcement learning agent for physical exercise recommendations in N-of-1 trials.	CoRR	2023	DBLP DOI BibTeX RDF
9	Zehui Wang, Wolfram Höpken, Dietmar Jannach	A Survey on Point-of-Interest Recommendations Leveraging Heterogeneous Data.	CoRR	2023	DBLP DOI BibTeX RDF
9	Thomas M. McDonald 0001, Lucas Maystre, Mounia Lalmas, Daniel Russo 0001, Kamil Ciosek	Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay.	CoRR	2023	DBLP DOI BibTeX RDF
9	Liu Leqi, Giulio Zhou, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery	A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits.	CoRR	2023	DBLP DOI BibTeX RDF
9	Wenqi Fan, Shijie Wang, Xiaoyong Wei, Xiaowei Mei, Qing Li 0001	Untargeted Black-box Attacks for Social Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex	A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi	Online Matching: A Real-time Bandit System for Large-scale Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Tilman Michaeli, Stefan Seegerer, Ralf Romeike	What Students Can Learn About Artificial Intelligence - Recommendations for K-12 Computing Education.	CoRR	2023	DBLP DOI BibTeX RDF
9	Chuang Li, Hengchang Hu, Yan Zhang 0004, Min-Yen Kan, Haizhou Li 0001	A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems.	CoRR	2023	DBLP DOI BibTeX RDF
9	Parnian Afshar, Jenny Yeon, Andriy Levitskyy, Rahul Suresh, Amin Banitalebi-Dehkordi	Improving the Accuracy of Beauty Product Recommendations by Assessing Face Illumination Quality.	CoRR	2023	DBLP DOI BibTeX RDF
9	Ya-Ting Yang, Haozhe Lei, Quanyan Zhu	Strategic Information Attacks on Incentive-Compatible Navigational Recommendations in Intelligent Transportation Systems.	CoRR	2023	DBLP DOI BibTeX RDF
9	Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis	Distributional Off-Policy Evaluation for Slate Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser	How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations?	CoRR	2023	DBLP DOI BibTeX RDF
9	Aleksey Romanov, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov	Time-Aware Item Weighting for the Next Basket Recommendations.	CoRR	2023	DBLP DOI BibTeX RDF
9	Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus	Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach.	CoRR	2023	DBLP DOI BibTeX RDF