Schedule (Singapore)

The DLP workshop is scheduled on Sept. 18 (Monday) from 9:00am to 12:40pm (local time). The zoom link has been posted on RecSys Hub. Each presenter will have an 8-minute slot for their talk followed by a 2-minute Q&A session.

Time	Content
9:00-9:10	Opening and Best Paper Anouncement
9:10-9:50	Keynote: Low-resource Learning on Graphs by Prof. Fang Yuan
9:50-10:10	10 Challenges in Industiral Recommender Systems
10:10-10:20	Extracting Essential and Disentangled Knowledge for Recommendation Enhancement
10:20-10:30	Rec4Ad: A Free Lunch to Mitigate Selection Bias for Ads CTR Prediction in Taobao
10:30-10:40	Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
10:40-10:50	Contrastive Multi-view Framework for Customer Lifetime Value Prediction
10:50-11:10	Coffee
11:10-11:20	DFFM: Domain Facilitated Feature Modeling for CTR Prediction
11:20-11:30	Making the Full Model Adaptive: Multi-level Domain Adaptation for Multi-Domain CTR Prediction
11:30-11:40	How Can Recommender Systems Benefit from Large Language Models: A Survey
11:40-11:50	CTRL: Connect Tabular and Language Model for CTR Prediction
11:50-12:00	Post-Training Quantization of Large and Sparse Embeddings in Deep Recommendation Models
12:00-12:10	STRec: Sparse Transformer for Sequential Recommendations
12:10-12:20	Multimodal Recommender Systems: A Survey
12:20-12:30	ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
12:30-12:35	Poster Spotlight Video
12:35-12:40	Best Paper Award Anouncement