• [2019/11/13] Modeling Dwell Time to Predict Click-level Satisfaction
• [2019/10/31] Predicting Economic Development using Geolocated Wikipedia Articles
• [2019/11/06] MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu’s Sponsored Search
• [2019/11/05] Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction
• [2019/10/10] Real-time Attention Based Look-alike Model for Recommender System
• [2019/10/24 Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction]
• [2019/10/24] Learning a Unified Embedding for Visual Search at Pinterest
• [2019/10/17] Time-Series Anomaly Detection Service at Microsoft
• [2019/10/17] Modeling Dwell Time Engagement on Visual Multimedia
• [2019/10/10] Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning
• [2019/10/03] Online Learning to Rank for Sequential Music　Recommendation
• [2019/10/03] Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction
• [2019/09/25] PinText: A Multitask Text Embedding System in Pinterest
• [2019/09/25] NPA: Neural News Recommendation with Personalized Attention
• [2019/09/19] Item Recommendation by Combining Relative and Absolute Feedback Data
• [2019/09/19] A Context-based Framework for Resource Citation Classification in Scientific Literatures
• [2019/09/19] Hate Speech Detection is Not as Easy as You May Think: A Closer Look at Model Validation
• [2019/09/12] MeLU: Meta-Learned User Preference Estimator for Cold-start Recommendation
• [2019/09/12] Effects of User Negative Experience in Mobile News Streaming
• [2019/05/16] Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations