| 2024 | Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search. | Fengran Mo, Chen Qu, Kelong Mao, Yihong Wu, Zhan Su, Kaiyu Huang, Jian-Yun Nie |
| 2024 | Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance. | Marco Minici, Federico Cinus, Francesco Bonchi, Giuseppe Manco |
| 2024 | AI-safe Autocompletion with RAG and Relevance Curation. | Kilian Merkelbach, Ksenia Riabinova, Arnab Dutta |
| 2024 | Semantic Prototypes: Enhancing Transparency without Black Boxes. | Orfeas Menis-Mastromichalakis, Giorgos Filandrianos, Jason Liartis, Edmund Dervakos, Giorgos Stamou |
| 2024 | SOUP: A Unified Shopping Query Suggestion Framework to Optimize Language Model with User Preference. | Xu Meng, Zhaohui Luo, Xinxin Wang, Wen Jiang, Wei Ning, Shuhan Qi |
| 2024 | Ask or Recommend: An Empirical Study on Conversational Product Search. | Heli Ma, Jie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Yi Bin, Yang Yang |
| 2024 | Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation. | Jianxing Ma, Zhibo Xiao, Luwei Yang, Hansheng Xue, Xuanzhou Liu, Wen Jiang, Wei Ning, Guannan Zhang |
| 2024 | CH-Mits: A Cross-Modal Dataset for User Sentiment Analysis on Chinese Social Media. | Juhao Ma, Shuai Xu, Yilin Liu, Xiaoming Fu |
| 2024 | PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. | Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk |
| 2024 | OpenTOS: Open-source System for Transfer Learning Bayesian Optimization. | Peili Mao, Ke Li |
| 2024 | Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits. | Masoud Mansoury, Bamshad Mobasher, Herke van Hoof |
| 2024 | Data Void Exploits: Tracking & Mitigation Strategies. | Miro Mannino, Junior Garcia, Reem Hazim, Azza Abouzied, Paolo Papotti |
| 2024 | Workshop on Generative AI for E-commerce. | Mansi Ranjit Mane, Djordje Gligorijevic, Dingxian Wang, Behzad Shahrasbi, Topojoy Biswas, Evren Krpeoglu, Marios Savvides |
| 2024 | An Explainable Multi-atlas Fusion Model based on Spatial Overlap for ASD Diagnosis. | Yuefeng Ma, Xiaochen Mu, Tengfei Zhang |
| 2024 | Quantifying Uncertainty in Neural Networks through Residuals. | Dalavai Udbhav Mallanna, Rini Smita Thakur, Rajeev Ranjan Dwivedi, Vinod K. Kurmi |
| 2024 | Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation? | Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Tommaso Di Noia, Fragkiskos D. Malliaros |
| 2024 | Building Natural Language Interface for Product Search. | Vijit Malik, Vinayak Puranik, Anirban Majumder, Vivek Sembium |
| 2024 | Unveiling Intellectual Property Vulnerabilities of GAN-Based Distributed Machine Learning through Model Extraction Attacks. | Mengyao Ma, Shuofeng Liu, M. A. P. Chamikara, Mohan Baruwal Chhetri, Guangdong Bai |
| 2024 | Multi-view Causal Graph Fusion Based Anomaly Detection in Cyber-Physical Infrastructures. | Arun Vignesh Malarkkan, Dongjie Wang, Yanjie Fu |
| 2024 | ToxVI: a Multimodal LLM-based Framework for Generating Intervention in Toxic Code-Mixed Videos. | Krishanu Maity, A. S. Poornash, Sriparna Saha, Kitsuchart Pasupa |
| 2024 | Combat Greenwashing with GoalSpotter: Automatic Sustainability Objective Detection in Heterogeneous Reports. | Mohammad Mahdavi, Ramin Baghaei Mehr, Tom Debus |
| 2024 | 3rd International Workshop on Industrial Recommendation Systems (IRS). | Luyi Ma, Xiaohan Li, Kamilia Ahmadi, Jianpeng Xu, Philip S. Yu, George Karypis |
| 2024 | Towards Advancing Text-Based User and Item Representation in Personalized Recommendation. | Hanjia Lyu |
| 2024 | A Knowledge-Enhanced Transformer-FL Method for Fault Root Cause Localization. | Zhe Lv, Yaqiong Liu, Xidian Wang, Peng Gao, Zhouyuan Li, Yuanzhen Jiang |
| 2024 | Hierarchical Structure Construction on Hypergraphs. | Qi Luo, Wenjie Zhang, Zhengyi Yang, Dong Wen, Xiaoyang Wang, Dongxiao Yu, Xuemin Lin |