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ORCIDTransactions on Recommender Systems, Volume 2
Volume 2, Number 1, March 2024
- Christine Bauer
, Alan Said, Eva Zangerle:
Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation. 1:1-1:5 - Yucheng Jin, Li Chen, Wanling Cai, Xianglin Zhao:
CRS-Que: A User-centric Evaluation Framework for Conversational Recommender Systems. 2:1-2:34 - Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study. 3:1-3:47 - Lien Michiels, Robin Verachtert, Andres Ferraro, Kim Falk, Bart Goethals:
A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms. 4:1-4:45 - Savvina Daniil, Mirjam Cuper, Cynthia C. S. Liem, Jacco van Ossenbruggen, Laura Hollink:
Reproducing Popularity Bias in Recommendation: The Effect of Evaluation Strategies. 5:1-5:39 - Michael D. Ekstrand, Ben Carterette, Fernando Diaz:
Distributionally-Informed Recommender System Evaluation. 6:1-6:27 - Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu:
On Item-Sampling Evaluation for Recommender System. 7:1-7:36 - Wissam Al Jurdi, Jacques Bou Abdo, Jacques Demerjian, Abdallah Makhoul:
Group Validation in Recommender Systems: Framework for Multi-layer Performance Evaluation. 8:1-8:25 - Behnam Rahdari, Peter Brusilovsky, Branislav Kveton:
Towards Simulation-Based Evaluation of Recommender Systems with Carousel Interfaces. 9:1-9:25 - Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born:
Measuring Commonality in Recommendation of Cultural Content to Strengthen Cultural Citizenship. 10:1-10:32 - Christine Bauer, Eva Zangerle, Alan Said:
Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives. 11:1-11:31
Volume 2, Number 2, June 2024
- Ivica Kostric, Krisztian Balog, Filip Radlinski:
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems. 12:1-12:24 - Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang:
A Comprehensive Survey on Automated Machine Learning for Recommendations. 13:1-13:38 - Xiangmin Zhou, Rosni Lumbantoruan, Yongli Ren, Lei Chen, Xiaochun Yang, Jie Shao:
Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation. 14:1-14:23
Volume 2, Number 3, September 2024
- Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo:
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems. 19:1-19:24
- Jonathan Stray, Alon Y. Halevy, Parisa Assar, Dylan Hadfield-Menell, Craig Boutilier, Amar Ashar, Chloé Bakalar, Lex Beattie, Michael D. Ekstrand, Claire Leibowicz, Connie Moon Sehat, Sara Johansen, Lianne Kerlin, David Vickrey, Spandana Singh, Sanne Vrijenhoek, Amy Xian Zhang, McKane Andrus, Natali Helberger, Polina Proutskova, Tanushree Mitra, Nina Vasan:
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. 20:1-20:57 - Yaxiong Wu, Craig Macdonald, Iadh Ounis:
Personalised Multi-modal Interactive Recommendation with Hierarchical State Representations. 21:1-21:25 - Steffen Rendle:
Efficient Optimization of Sparse User Encoder Recommenders. 22:1-22:31 - Christine Bauer, Chandni Bagchi, Olusanmi A. Hundogan, Karin van Es:
Where Are the Values? A Systematic Literature Review on News Recommender Systems. 23:1-23:40 - Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu:
Revisiting Bundle Recommendation for Intent-aware Product Bundling. 24:1-24:34 - Romain Deffayet, Thibaut Thonet, Dongyoon Hwang, Vassilissa Lehoux, Jean-Michel Renders, Maarten de Rijke:
SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments. 25:1-25:34
Volume 2, Number 4, December 2024
- Lei Zheng, Huacan Chai, Xianyu Chen, Jiarui Jin, Weinan Zhang, Yong Yu, Xiaodong Guo, Can Ge, Ziming Feng:
Search-based Time-aware Graph-enhanced Recommendation with Sequential Behavior Data. 26:1-26:29 - Qi Shen, Lingfei Wu, Yiming Zhang, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei:
Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator. 27:1-27:29 - Bruno L. Pereira, Pedro Dalla Vecchia Chaves, Rodrygo L. T. Santos:
Efficient Exploration and Exploitation for Sequential Music Recommendation. 28:1-28:23 - Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation. 29:1-29:27 - Christina Göpfert, Alex Haig, Chih-Wei Hsu, Yinlam Chow, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Hubert Pham, Mohammad Ghavamzadeh, Craig Boutilier:
Discovering Personalized Semantics for Soft Attributes in Recommender Systems Using Concept Activation Vectors. 30:1-30:37
- Zhiyong Cheng, Jianhua Dong, Fan Liu, Lei Zhu, Xun Yang, Meng Wang:
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation. 31:1-31:27 - Xiaowu Dai, Wenlu Xu, Yuan Qi, Michael I. Jordan:
Incentive-Aware Recommender Systems in Two-Sided Markets. 32:1-32:38
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