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ORCID17th WSDM 2024: Merida, Mexico
- Luz Angelica Caudillo-Mata, Silvio Lattanzi, Andrés Muñoz Medina, Leman Akoglu, Aristides Gionis, Sergei Vassilvitskii:
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024. ACM 2024
Keynote Talk Abstracts
- Andrei Z. Broder
:
Delphic Costs and Benefits in Web Search: A Utilitarian and Historical Analysis. 1 - Nicolas Christin:
What I Learned from Spending a Dozen Years in the Dark Web. 2-3 - Xin Luna Dong:
The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG). 4 - Elizabeth Reid:
Unlocking Human Curiosity. 5 - Saiph Savage:
Unveiling AI-Driven Collective Action for a Worker-Centric Future. 6-7
Full Research Papers
- Zahra Abbasiantaeb, Yifei Yuan, Evangelos Kanoulas, Mohammad Aliannejadi:
Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions. 8-17 - Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. 18-27 - Yimeng Bai, Yang Zhang, Jing Lu, Jianxin Chang, Xiaoxue Zang, Yanan Niu, Yang Song, Fuli Feng:
LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting. 28-37 - Esteban Bautista, Laurent Brisson, Cécile Bothorel, Grégory Smits:
MAD: Multi-Scale Anomaly Detection in Link Streams. 38-46 - Kianté Brantley, Zhichong Fang, Sarah Dean, Thorsten Joachims:
Ranking with Long-Term Constraints. 47-56 - Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, Minnan Luo:
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection. 57-66 - Haw-Shiuan Chang, Nikhil Agarwal, Andrew McCallum:
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders. 67-76 - Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan:
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. 77-86 - Changyu Chen, Yanran Li, Chen Wei, Jianwei Cui, Bin Wang, Rui Yan:
Empathetic Response Generation with Relation-aware Commonsense Knowledge. 87-95 - Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li:
Professional Network Matters: Connections Empower Person-Job Fit. 96-105 - Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu:
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. 106-115 - Yuyan Chen, Jin Zhao, Zhihao Wen, Zhixu Li, Yanghua Xiao:
TemporalMed: Advancing Medical Dialogues with Time-Aware Responses in Large Language Models. 116-124 - Zhen Chen, Jingping Liu, Deqing Yang, Yanghua Xiao, Huimin Xu, Zongyu Wang, Rui Xie, Yunsen Xian:
Exploiting Duality in Open Information Extraction with Predicate Prompt. 125-133 - Tzu-Yun Chien, Chih-Ya Shen:
Customized and Robust Deep Neural Network Watermarking. 134-142 - Alex Crane, Brian Lavallee, Blair D. Sullivan, Nate Veldt:
Overlapping and Robust Edge-Colored Clustering in Hypergraphs. 143-151 - Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur:
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking. 152-160 - Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He:
K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. 161-170 - Zhirui Deng, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
CL4DIV: A Contrastive Learning Framework for Search Result Diversification. 171-180 - Haoyu Dong, Haochen Wang, Anda Zhou, Yue Hu:
TTC-QuAli: A Text-Table-Chart Dataset for Multimodal Quantity Alignment. 181-189 - Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou:
Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning. 190-198 - Zhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang:
Contextual MAB Oriented Embedding Denoising for Sequential Recommendation. 199-207 - Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan:
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. 208-217 - Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying:
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. 218-227 - Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong:
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. 228-237 - Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi:
CausalMMM: Learning Causal Structure for Marketing Mix Modeling. 238-246 - Xiaoqiang Gui, Yueyao Cheng, Xiang-Rong Sheng, Yunfeng Zhao, Guoxian Yu, Shuguang Han, Yuning Jiang, Jian Xu, Bo Zheng:
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. 247-256 - Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin:
Motif-based Prompt Learning for Universal Cross-domain Recommendation. 257-265 - Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan:
User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. 266-275 - Qi Hu, Yangqiu Song:
User Consented Federated Recommender System Against Personalized Attribute Inference Attack. 276-285 - Xinrong Hu, Wushuan Chen, Jie Yang, Yi Guo, Xun Yao, Bangchao Wang, Junping Liu, Ce Xu:
SCAD: Subspace Clustering based Adversarial Detector. 286-294 - Jiani Huang, Zhenzhe Zheng, Yanrong Kang, Zixiao Wang:
From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction. 295-303 - Xinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao:
Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. 304-312 - Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang:
DiffKG: Knowledge Graph Diffusion Model for Recommendation. 313-321 - Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum:
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation. 322-331 - Yungi Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim:
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation. 332-340 - Menglin Kong, Jia Wang, Yushan Pan, Haiyang Zhang, Muzhou Hou:
C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement. 341-349 - Jacopo Lenti, Corrado Monti, Gianmarco De Francisci Morales:
Likelihood-Based Methods Improve Parameter Estimation in Opinion Dynamics Models. 350-359 - Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang:
Multi-Intent Attribute-Aware Text Matching in Searching. 360-368 - Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin:
Text-Video Retrieval via Multi-Modal Hypergraph Networks. 369-377 - Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu:
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. 378-386 - Xuewei Li, Hongwei Chen, Jian Yu, Mankun Zhao, Tianyi Xu, Wenbin Zhang, Mei Yu:
Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation. 387-395 - Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li:
Inverse Learning with Extremely Sparse Feedback for Recommendation. 396-404 - Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang:
Mixed Attention Network for Cross-domain Sequential Recommendation. 405-413 - Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang:
Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. 414-423 - Ziqian Lin, Hao Ding, Trong Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang:
Pre-trained Recommender Systems: A Causal Debiasing Perspective. 424-433 - Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao:
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. 434-442 - Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane:
Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. 443-451 - Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu:
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models. 452-461 - Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu:
Knowledge Graph Context-Enhanced Diversified Recommendation. 462-471 - Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li:
Interact with the Explanations: Causal Debiased Explainable Recommendation System. 472-481 - Yaokun Liu, Xiaowang Zhang, Minghui Zou, Zhiyong Feng:
Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation. 482-491 - Yu Liu, Yanan Cao, Shi Wang, Qingyue Wang, Guanqun Bi:
Generative Models for Complex Logical Reasoning over Knowledge Graphs. 492-500 - Wenze Ma, Yuexian Wang, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Xuhao Zhao, Jiadi Yu, Feilong Tang:
MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation. 501-509 - Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua:
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. 510-519 - Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Graph Unsupervised Domain Adaptation. 520-528 - Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media. 529-537 - Aleksandr V. Petrov, Craig Macdonald:
RecJPQ: Training Large-Catalogue Sequential Recommenders. 538-547 - Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng:
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. 548-556 - Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Budgeted Embedding Table For Recommender Systems. 557-566 - Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang:
SSLRec: A Self-Supervised Learning Framework for Recommendation. 567-575 - Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li:
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. 576-585 - Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen:
Ad-load Balancing via Off-policy Learning in a Content Marketplace. 586-595 - Sina Sajadmanesh, Daniel Gatica-Perez:
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees. 596-605 - Marija Sakota, Maxime Peyrard, Robert West:
Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling. 606-615 - Jinseok Seol, Minseok Gang, Sang-goo Lee, Jaehui Park:
Proxy-based Item Representation for Attribute and Context-aware Recommendation. 616-625 - Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu:
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. 626-635 - Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen:
Long-Term Value of Exploration: Measurements, Findings and Algorithms. 636-644 - Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang:
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study. 645-654 - Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Linjun Yang, Rangan Majumder, Nan Duan:
LEAD: Liberal Feature-based Distillation for Dense Retrieval. 655-664 - Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng:
Rethinking and Simplifying Bootstrapped Graph Latents. 665-673 - Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng:
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. 674-682 - Jonas Wallat, Adam Jatowt, Avishek Anand:
Temporal Blind Spots in Large Language Models. 683-692 - Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen:
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. 693-701 - Chengxin Wang, Yuxuan Liang, Gary Tan:
CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting. 702-711 - Fali Wang, Tianxiang Zhao, Suhang Wang:
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels. 712-720 - Haonan Wang, Ziwei Wu, Jingrui He:
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes. 721-730 - Shiyu Wang:
NeuralReconciler for Hierarchical Time Series Forecasting. 731-739 - Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong:
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation. 740-749 - Xiaoyu Wang, Yonghui Guo, Bin Tan, Tao Yang, Dongbo Huang, Lan Xu, Hao Zhou, Xiangyang Li:
Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial Rewarding. 750-759 - Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He:
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. 760-768 - Yue Wang, Zilong Zheng, Zecheng Tang, Juntao Li, Zhihui Liu, Kunlong Chen, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Min Zhang:
Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline. 769-778 - Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang:
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. 779-787 - Zixiao Wang, Zhenzhe Zheng, Yanrong Kang, Jiani Huang:
Cost-Effective Active Learning for Bid Exploration in Online Advertising. 788-796 - He Wei, Yuekui Yang, Shaoping Ma, Haiyang Wu, Yangyang Tang, Meixi Liu, Yang Zhang:
AutoPooling: Automated Pooling Search for Multi-valued Features in Recommendations. 797-805 - Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
LLMRec: Large Language Models with Graph Augmentation for Recommendation. 806-815 - Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li:
Unified Visual Preference Learning for User Intent Understanding. 816-825 - Hyowon Wi, Yehjin Shin, Noseong Park:
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation. 826-835 - Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Neural Kalman Filtering for Robust Temporal Recommendation. 836-845 - Zhibo Xiao, Luwei Yang, Tao Zhang, Wen Jiang, Wei Ning, Yujiu Yang:
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation. 846-854 - Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
On the Effectiveness of Unlearning in Session-Based Recommendation. 855-863 - Hongshen Xu, Lu Chen, Zihan Zhao, Da Ma, Ruisheng Cao, Zichen Zhu, Kai Yu:
Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding. 864-872 - Rong Yan, Peng Bao, Xiao Zhang, Zhongyi Liu, Hui Liu:
Towards Alignment-Uniformity Aware Representation in Graph Contrastive Learning. 873-881 - Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin:
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. 882-890 - Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Unified Pretraining for Recommendation via Task Hypergraphs. 891-900 - Zhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen:
GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas. 901-910 - Xun Yao, Zhixin Zhang, Xinrong Hu, Jie (Jack) Yang, Yi Guo, Daniel (Dianliang) Zhu:
COTER: Conditional Optimal Transport meets Table Retrieval. 911-919 - Ziqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li:
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization. 920-929 - Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang:
Linear Recurrent Units for Sequential Recommendation. 930-938 - Kexin Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui Zhang:
IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation. 939-948 - Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long:
Defense Against Model Extraction Attacks on Recommender Systems. 949-957 - Xiao Zhang, Peng Bao, Shirui Pan:
Maximizing Malicious Influence in Node Injection Attack. 958-966 - Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Interpretable Imitation Learning with Dynamic Causal Relations. 967-975 - Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu:
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. 976-984 - Zhengyang Zhou, Jiahao Shi, Hongbo Zhang, Qiongyu Chen, Xu Wang, Hongyang Chen, Yang Wang:
CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting. 985-993 - Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra:
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices. 994-1002 - Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie:
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. 1003-1011 - Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng:
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. 1012-1021 - Zhihong Zhu, Xuxin Cheng, Hongxiang Li, Yaowei Li, Yuexian Zou:
Dance with Labels: Dual-Heterogeneous Label Graph Interaction for Multi-intent Spoken Language Understanding. 1022-1031 - Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang:
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization. 1032-1041
Short Demo Papers
- Nolwenn Bernard, Ivica Kostric, Krisztian Balog:
IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User Modeling. 1042-1045 - Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif:
WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data. 1046-1049 - Revanth Gangi Reddy, Sharath Chandra Etagi Suresh, Hao Bai, Wentao Yao, Mankeerat Sidhu, Karan Aggarwal, Prathamesh Sonawane, ChengXiang Zhai:
CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations. 1050-1053 - Yuanhe Guo, Haoming Liu, Hongyi Wen:
GEMRec: Towards Generative Model Recommendation. 1054-1057 - Ambreen Hanif, Amin Beheshti, Xuyun Zhang, Steven Wood, Boualem Benatallah, EuJin Foo:
EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence. 1058-1061 - Ghazaleh Haratinezhad Torbati, Anna Tigunova, Gerhard Weikum:
SIRUP: Search-based Book Recommendation Playground. 1062-1065 - Blaine Hill, Lihui Liu, Hanghang Tong:
Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform. 1066-1069 - Zhao Li, Guoqi Ren, Yongchun Gu, Siwei Zhou, Xuanwu Liu, Jiaming Huang, Ming Li:
Real-time E-bike Route Planning with Battery Range Prediction. 1070-1073 - Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue:
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis. 1074-1077 - Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton:
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. 1078-1081 - Juwal Regev, Adam Jatowt, Michael Färber:
Future Timelines: Extraction and Visualization of Future-related Content From News Articles. 1082-1085 - Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei:
Temporal Graph Analysis with TGX. 1086-1089 - Jasper Xian, Tommaso Teofili, Ronak Pradeep, Jimmy Lin:
Vector Search with OpenAI Embeddings: Lucene Is All You Need. 1090-1093 - Yukang Xie, Chengyu Wang, Junbing Yan, Jiyong Zhou, Feiqi Deng, Jun Huang:
Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters. 1094-1097 - Ming Zhang, Yanyan Li, Jianguo Duan, Jizhou Huang, Jingbo Zhou:
A Scalable Open-Source System for Segmenting Urban Areas with Road Networks. 1098-1101 - Ya-Lin Zhang, Caizhi Tang, Lu Yu, Jun Zhou, Longfei Li, Qing Cui, Fangfang Fan, Linbo Jiang, Xiaosong Zhao:
Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding. 1102-1105 - Zeyu Zhang, Zhengyuan Zhu, Haiqi Zhang, Foram Patel, Josue Caraballo, Patrick Hennecke, Chengkai Li:
Wildfire: A Twitter Social Sensing Platform for Layperson. 1106-1109
Tutorial Papers
- Omar Alonso, Kenneth Church:
Some Useful Things to Know When Combining IR and NLP: The Easy, the Hard and the Ugly. 1110-1113 - Ricardo Baeza-Yates:
Introduction to Responsible AI. 1114-1117 - Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis:
Unbiased Learning to Rank: On Recent Advances and Practical Applications. 1118-1121 - Bowen Jin, Yu Zhang, Sha Li, Jiawei Han:
Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery. 1122-1125 - Sanmi Koyejo, Bo Li:
Towards Trustworthy Large Language Models. 1126-1127 - Nir Rosenfeld:
Strategic ML: How to Learn With Data That 'Behaves'. 1128-1131 - Bram van den Akker, Olivier Jeunen, Ying Li, Ben London, Zahra Nazari, Devesh Parekh:
Practical Bandits: An Industry Perspective. 1132-1135
Doctoral Consortiums
- Nolwenn Bernard:
Leveraging User Simulation to Develop and Evaluate Conversational Information Access Agents. 1136-1138 - Santiago de Leon-Martinez:
Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank. 1139-1141 - Weronika Lajewska:
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems. 1142-1144 - Jacopo Lenti:
Learning Opinion Dynamics from Data. 1145-1147 - Kohei Obata:
Gaussian Graphical Model-Based Clustering of Time Series Data. 1148-1149 - Aleksandr V. Petrov:
Effective and Efficient Transformer Models for Sequential Recommendation. 1150-1151 - Alveiro Alonso Rosado Gomez, Maritza Liliana Calderón-Benavides:
Framework for Bias Detection in Machine Learning Models: A Fairness Approach. 1152-1154 - Song Shuang, Muhammad Syafiq Bin Mohd Pozi:
Using Causal Inference to Solve Uncertainty Issues in Dataset Shift. 1155-1157 - Yunyi Zhang:
Multi-Granular Text Classification with Minimal Supervision. 1158-1160
Industry Day Talk Abstracts
- Harikrishnan C, Giridhar Sreenivasa Murthy, Kumar Rangarajan:
Augmenting Keyword-based Search in Mobile Applications Using LLMs. 1161-1162 - Sudeep Das, Raghav Saboo, Chaitanya S. K. Vadrevu, Bruce Wang, Steven Xu:
Applications of LLMs in E-Commerce Search and Product Knowledge Graph: The DoorDash Case Study. 1163-1164 - Sachin Farfade, Sachin Vernekar, Vineet Chaoji, Rajdeep Mukherjee:
Scaling Use-case Based Shopping using LLMs. 1165-1166 - Sagar Goyal, Eti Rastogi, Sree Prasanna Rajagopal, Dong Yuan, Fen Zhao, Jai Chintagunta, Gautam Naik, Jeff Ward:
HealAI: A Healthcare LLM for Effective Medical Documentation. 1167-1168 - Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina:
Mitigating Factual Inconsistency and Hallucination in Large Language Models. 1169-1170 - Akshay Jagatap, Sachin Farfade:
Recent Advances in Refinement Recommendations. 1171-1172 - Ashish Kapoor:
Foundation Models for Aerial Robotics. 1173 - Wei Qiao, Tushar Dogra, Otilia Stretcu, Yu-Han Lyu, Tiantian Fang, Dongjin Kwon, Chun-Ta Lu, Enming Luo, Yuan Wang, Chih-Chun Chia, Ariel Fuxman, Fangzhou Wang, Ranjay Krishna, Mehmet Tek:
Scaling Up LLM Reviews for Google Ads Content Moderation. 1174-1175 - Md. Mostafizur Rahman, Yu Hirate:
Customer Understanding for Recommender Systems. 1176-1177 - Akhil Raj, Hrishikesh Ganu, Saikat Kumar Das, R. Sandeep, Satyajeet Singh, Sreekanth Vempati:
"Maya"- A Conversational Shopping Assistant for Fashion at Myntra. 1178-1179 - Sohini Roychowdhury:
Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers. 1180-1181 - Mukkamala Venkata Sai Prakash, Ganesh Parab, Meghana Veeramalla, Siddartha Reddy, Varun V, Saisubramaniam Gopalakrishnan, Vishal Pagidipally, Vishal Vaddina:
Accelerating Pharmacovigilance using Large Language Models. 1182-1183 - Shreya Saxena, Siva Prasad, Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina:
Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks. 1184-1185 - Jianling Wang, Haokai Lu, Minmin Chen:
Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs. 1186-1187 - Jun Yu:
Lessons Learnt from Building Friend Recommendation Systems. 1188-1189 - Jiawei Zhang, Shimin Yang, Liang Shen:
AAGenRec: A Novel Approach for Mitigating Inter-task Interference in Multi-task Optimization of Sequential Behavior Modeling. 1190-1191
WSDM Day Talk Abstracts
- Hermelando Cruz-Pérez, Alejandro Molina-Villegas:
Automated Topic Generation for the Mexican Platform for Access to Government Public Information During the Period 2003-2020. 1192-1193 - Pedro Escobar-Turriza, Luis Muñoz-Miranda, Alejandro Pereira-Santana:
Genomic-World Fungi Data: Synteny Part. 1194-1195 - José Ignacio Huertas, Luisa Fernanda Chaparro Sierra:
Profiling Urban Mobility Patterns with High Spatial and Temporal Resolution: A Deep Dive into Cellphone Geo-position Data. 1196-1197 - Carlos Efrain Quintero Narvaez, Raúl Monroy:
Integrating Knowledge Graph Data with Large Language Models for Explainable Inference. 1198-1199 - Melissa Robles, Cristian A. Martínez, Juan Camilo Prieto, Sara Palacios, Rubén Manrique:
Preserving Heritage: Developing a Translation Tool for Indigenous Dialects. 1200-1203 - Jonathan Zárate-Cartas, Alejandro Molina-Villegas:
Automatic Extraction of Patterns in Digital News Articles of Femicides occurred in Mexico by Text Mining Techniques. 1204-1205
Workshop Abstracts
- Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang:
WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. 1206-1207 - Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis:
The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024). 1208-1209 - Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed:
The 5th International Workshop on Machine Learning on Graphs (MLoG). 1210-1211 - Lluís Garcia Pueyo, Symeon Papadopoulos, Prathyusha Senthil Kumar, Aristides Gionis, Panayiotis Tsaparas, Vasilis Verroios, Giuseppe Manco, Anton Andryeyev, Stefano Cresci, Timos Sellis, Anthony McCosker:
Integrity 2024: Integrity in Social Networks and Media. 1212-1213 - Lazhar Labiod, Mohamed Nadif, Aghiles Salah:
WSDM 2024 Workshop on Representation Learning & Clustering. 1214-1215 - Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex:
Psychology-informed Information Access Systems Workshop. 1216-1217
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