Journal: ACM TIST

Volume 16, Issue 1

0 -- 0Alessandro Fabris, Nina Baranowska, Matthew J. Dennis, David Graus, Philipp Hacker, Jorge Saldivar, Frederik J. Zuiderveen Borgesius, Asia J. Biega. Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey
0 -- 0Chenhao Zhang 0004, Weitong Chen 0001, Wei Zhang 0098, Miao Xu. Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items
0 -- 0Jihoon Ko, Shinhwan Kang, Taehyung Kwon, Heechan Moon, Kijung Shin. BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning
0 -- 0Hongliang Sun, Zhiying Tu, Dianbo Sui, Bolin Zhang, Xiaofei Xu. A Federated Social Recommendation Approach with Enhanced Hypergraph Neural Network
0 -- 0Chao Yan, Weiyi Zhong, Dengshuai Zhai, Arif Ali Khan, Wenwen Gong, Yanwei Xu, Baogui Xin. Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation
0 -- 0Peter Carragher, Evan M. Williams, Kathleen M. Carley. Misinformation Resilient Search Rankings with Webgraph-Based Interventions
0 -- 0Hao Liao, Shuo Wang, Hao Cheng, Wei Zhang 0242, Jiwei Zhang, Mingyang Zhou 0001, Kezhong Lu, Rui Mao 0001, Xing Xie 0001. Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning
0 -- 0Shanshan Ye, Jie Lu 0001. Robust Recommender Systems with Rating Flip Noise
0 -- 0Junpei Tokunaga, Yuki Kikukawa, Hiroyuki Ebara, Naonori Ueda. Fast and Accurate Evacuation Planning Algorithm with Bayesian Optimization
0 -- 0Lokendra Birla, Trishna Saikia, Puneet Gupta 0002. AVENUE: A Novel Deepfake Detection Method Based on Temporal Convolutional Network and rPPG Information
0 -- 0Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens, Jenna H. Tilt. A Trustworthy and Responsible Decision-Making Framework for Resource Management in Food-Energy-Water Nexus: A Control-Theoretical Approach
0 -- 0Gennaro Auricchio, Jun Liu 0029, Qun Ma, Jie Zhang 0008. b-matching
0 -- 0Genan Dai, Weiyang Kong, Yubao Liu, Bowen Zhang 0005, Xiaojiang Peng, Xiaomao Fan, Hu Huang. Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction
0 -- 0Jennifer Golbeck. Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation
0 -- 0Thirasara Ariyarathna, Meisam Mohommady, Hye-Young Paik, Salil S. Kanhere. DeepSneak: User GPS Trajectory Reconstruction from Federated Route Recommendation Models
0 -- 0Aris Anagnostopoulos, Luca Becchetti, Matteo Böhm, Adriano Fazzone, Stefano Leonardi 0001, Cristina Menghini, Chris Schwiegelshohn. Fair Projections as a Means toward Balanced Recommendations
0 -- 0Cuiying Huo, Dongxiao He, Yawen Li 0001, Di Jin 0001, Jianwu Dang 0001, Witold Pedrycz, Lingfei Wu 0001, Weixiong Zhang. Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
0 -- 0Yihong Zhang 0001, Takahiro Hara. Extracting Political Interest Model from Interaction Data Based on Novel Word-level Bias Assignment
0 -- 0Lina Yao 0001, Julian J. McAuley, Xianzhi Wang 0001, Dietmar Jannach. Special Issue on Responsible Recommender Systems Part 2
0 -- 0Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu. GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning
0 -- 0Lucas Möller, Sebastian Padó. Explaining Neural News Recommendation with Attributions onto Reading Histories
0 -- 0Sophie Fleischmann, Simon Dietz, Julian Shanbhag, Annika Wuensch, Marlies Nitschke, Jörg Miehling, Sandro Wartzack, Sigrid Leyendecker, Bjoern M. Eskofier, Anne D. Koelewijn. Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach
0 -- 0Yuying Zhao, Yu Wang 0160, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr. Fairness and Diversity in Recommender Systems: A Survey
0 -- 0Megha Thukral, Harish Haresamudram, Thomas Plötz. Cross-Domain HAR: Few-Shot Transfer Learning for Human Activity Recognition
0 -- 0Haojie Zhuang, Wei Zhang 0098, Weitong Chen 0001, Jian Yang 0001, Quan Z. Sheng. Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation