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09/16/2023
An Unified Search and Recommendation Foundation Model for Cold-Start Scenario
In modern commercial search engines and recommendation systems, data fro...
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08/31/2023
AntM^2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction
Click-through rate (CTR) prediction is a crucial issue in recommendation...
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08/24/2023
Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models
Instruction tuning is instrumental in enabling Large Language Models (LL...
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08/22/2023
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval
Grounded on pre-trained language models (PLMs), dense retrieval has been...
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08/10/2023
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning
Relevance modeling aims to locate desirable items for corresponding quer...
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08/04/2023
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs
Graph Neural Networks (GNNs) conduct message passing which aggregates lo...
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06/28/2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization
Out-of-distribution (OOD) graph generalization are critical for many rea...
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04/25/2023
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning
Recently, the growth of service platforms brings great convenience to bo...
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05/28/2022