- Alex Crane, Brian Lavallee, Blair D. Sullivan, Nate Veldt:
Overlapping and Robust Edge-Colored Clustering in Hypergraphs. WSDM 2024: 143-151 - Hermelando Cruz-Pérez, Alejandro Molina-Villegas:
Automated Topic Generation for the Mexican Platform for Access to Government Public Information During the Period 2003-2020. WSDM 2024: 1192-1193 - 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. WSDM 2024: 1163-1164 - 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). WSDM 2024: 1208-1209 - 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. WSDM 2024: 152-160 - Zhirui Deng, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
CL4DIV: A Contrastive Learning Framework for Search Result Diversification. WSDM 2024: 171-180 - 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. WSDM 2024: 161-170 - Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed:
The 5th International Workshop on Machine Learning on Graphs (MLoG). WSDM 2024: 1210-1211 - Xin Luna Dong:
The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG). WSDM 2024: 4 - Pedro Escobar-Turriza, Luis Muñoz-Miranda, Alejandro Pereira-Santana:
Genomic-World Fungi Data: Synteny Part. WSDM 2024: 1194-1195 - Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou:
Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning. WSDM 2024: 190-198 - Sachin Farfade, Sachin Vernekar, Vineet Chaoji, Rajdeep Mukherjee:
Scaling Use-case Based Shopping using LLMs. WSDM 2024: 1165-1166 - Zhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang:
Contextual MAB Oriented Embedding Denoising for Sequential Recommendation. WSDM 2024: 199-207 - Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif:
WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data. WSDM 2024: 1046-1049 - 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. WSDM 2024: 208-217 - 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. WSDM 2024: 228-237 - Alveiro Alonso Rosado Gomez, Maritza Liliana Calderón-Benavides:
Framework for Bias Detection in Machine Learning Models: A Fairness Approach. WSDM 2024: 1152-1154 - Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi:
CausalMMM: Learning Causal Structure for Marketing Mix Modeling. WSDM 2024: 238-246 - 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. WSDM 2024: 1167-1168 - 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. WSDM 2024: 247-256 - Yuanhe Guo, Haoming Liu, Hongyi Wen:
GEMRec: Towards Generative Model Recommendation. WSDM 2024: 1054-1057 - Ambreen Hanif, Amin Beheshti, Xuyun Zhang, Steven Wood, Boualem Benatallah, EuJin Foo:
EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence. WSDM 2024: 1058-1061 - Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin:
Motif-based Prompt Learning for Universal Cross-domain Recommendation. WSDM 2024: 257-265 - Blaine Hill, Lihui Liu, Hanghang Tong:
Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform. WSDM 2024: 1066-1069 - Xinrong Hu, Wushuan Chen, Jie Yang, Yi Guo, Xun Yao, Bangchao Wang, Junping Liu, Ce Xu:
SCAD: Subspace Clustering based Adversarial Detector. WSDM 2024: 286-294 - Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan:
User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. WSDM 2024: 266-275 - Qi Hu, Yangqiu Song:
User Consented Federated Recommender System Against Personalized Attribute Inference Attack. WSDM 2024: 276-285 - Jiani Huang, Zhenzhe Zheng, Yanrong Kang, Zixiao Wang:
From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction. WSDM 2024: 295-303 - 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. WSDM 2024: 1196-1197 - Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina:
Mitigating Factual Inconsistency and Hallucination in Large Language Models. WSDM 2024: 1169-1170