| 2024 | Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing. | Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Yong Li |
| 2024 | The Double Edged Sword: Identifying Authentication Pages and their Fingerprinting Behavior. | Asuman Senol, Alisha Ukani, Dylan Cutler, Igor Bilogrevic |
| 2024 | From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries. | Philipp Seifer, Daniel Hernndez, Ralf Lmmel, Steffen Staab |
| 2024 | Detecting Generated Native Ads in Conversational Search. | Sebastian Schmidt, Ines Zelch, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast |
| 2024 | DISKCO : Disentangling Knowledge from Cross-Encoder to Bi-Encoder. | Ankith M. S, Arindam Bhattacharya, Ankit Gandhi, Vijay Huddar, Atul Saroop, Rahul Bhagat |
| 2024 | Hyperlink Hijacking: Exploiting Erroneous URL Links to Phantom Domains. | Kevin Saric, Felix Savins, Gowri Sankar Ramachandran, Raja Jurdak, Surya Nepal |
| 2024 | REAL-UP: Urban Perceptions From LBSNs Helping Moving Real-Estate Market to the Next Level. | Frances Albert Santos, Thiago H. Silva, Leandro A. Villas |
| 2024 | LLM Driven Web Profile Extraction for Identical Names. | Prateek Sancheti, Kamalakar Karlapalem, Kavita Vemuri |
| 2024 | Long-term Off-Policy Evaluation and Learning. | Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas |
| 2024 | Off-Policy Evaluation for Large Action Spaces via Policy Convolution. | Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley |
| 2024 | Personalized Ordering of Recommendation-Modules on an E-Commerce Homepage. | Haggai Roitman, Alexander Nus, Yotam Eshel |
| 2024 | Unsupervised Search Algorithm Configuration using Query Performance Prediction. | Haggai Roitman |
| 2024 | Representation Learning with Large Language Models for Recommendation. | Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang |
| 2024 | One-shot Pairing and Authentication Using Moms Secret. | Ubaid Ur Rehman, Sungyoung Lee |
| 2024 | Unraveling the Tangle of Disinformation: A Multimodal Approach for Fake News Identification on Social Media. | Junaid Rashid, Jungeun Kim, Anum Masood |
| 2024 | Using Model Calibration to Evaluate Link Prediction in Knowledge Graphs. | Aishwarya Rao, Narayanan Asuri Krishnan, Carlos R. Rivero |
| 2024 | Unfiltered: Measuring Cloud-based Email Filtering Bypasses. | Sumanth Rao, Enze Liu, Grant Ho, Geoffrey M. Voelker, Stefan Savage |
| 2024 | Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. | Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin |
| 2024 | Distributed Transparent Data Layer for Next Generation Blockchains. | Li Quan |
| 2024 | Leveraging Knowledge-aware Methodologies for Multi-document Summarization. | Yutong Qu |
| 2024 | Critical Nodes Detection: Node Merging Approach. | Hongbo Qiu, Renjie Sun, Chen Chen, Xiaoyang Wang, Ying Zhang |
| 2024 | An Efficient Automatic Meta-Path Selection for Social Event Detection via Hyperbolic Space. | Zitai Qiu, Congbo Ma, Jia Wu, Jian Yang |
| 2024 | BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework. | Zhen Qin, Xueqiang Yan, Mengchu Zhou, Shuiguang Deng |
| 2024 | LinkGuard: Link Locally Privacy-Preserving Graph Neural Networks with Integrated Denoising and Private Learning. | Yuxin Qi, Xi Lin, Ziyao Liu, Gaolei Li, Jingyu Wang, Jianhua Li |
| 2024 | Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. | Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye |