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- Peking UniversityCN36 papers
- Sun Yat-sen UniversityCN19 papers
- Harbin Institute of TechnologyCN18 papers
- University of Chinese Academy of SciencesCN16 papers
- Tsinghua UniversityCN15 papers
- Beihang UniversityCN13 papers
- Southern University of Science and TechnologyCN13 papers
- Chinese Academy of SciencesCN12 papers
- Tencent (China)CN11 papers
- Beijing Jiaotong UniversityCN8 papers
- Institute of Computing TechnologyCN8 papers
- South China University of TechnologyCN8 papers
8 papers · 1 filter
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
Yushen Li, Jinpeng Wang, Tao Dai +4
Predicting click-through rates (CTR) is a fundamental task for Web applications, where a key issue is to devise effective models for feature interactions. Current methodologies pre…
Multi-View Graph Convolutional Network for Multimedia Recommendation
Penghang Yu, Zhiyi Tan, Guanming Lu +1
Multimedia recommendation has received much attention in recent years. It models user preferences based on both behavior information and item multimodal information. Though current…
MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation
Jinpeng Wang, Ziyun Zeng, Yunxiao Wang +7
The goal of sequential recommendation (SR) is to predict a user's potential interested items based on her/his historical interaction sequences. Most existing sequential recommender…
Transition Propagation Graph Neural Networks for Temporal Networks
Tongya Zheng, Zunlei Feng, Tianli Zhang +6
Researchers of temporal networks (e.g., social networks and transaction networks) have been interested in mining dynamic patterns of nodes from their diverse interactions. Inspired…
Multi-Behavior Recommendation with Cascading Graph Convolution Networks
Zhiyong Cheng, Sai Han, Fan Liu +3
Multi-behavior recommendation, which exploits auxiliary behaviors (e.g., click and cart) to help predict users' potential interactions on the target behavior (e.g., buy), is regard…
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval
Jinpeng Wang, Bin Chen, Dongliang Liao +4
With the recent boom of video-based social platforms (e.g., YouTube and TikTok), video retrieval using sentence queries has become an important demand and attracts increasing resea…