554 citations · 1.3k across the 62 of their papers we have counts for
8 papers · 1 filter
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Ding Zou, Wei Wei, Xian-Ling Mao +4
Knowledge graph (KG) plays an increasingly important role in recommender systems. Recently, graph neural networks (GNNs) based model has gradually become the theme of knowledge-awa…
Multi-view Intent Disentangle Graph Networks for Bundle Recommendation
Sen Zhao, Wei Wei, Ding Zou +1
Bundle recommendation aims to recommend the user a bundle of items as a whole. Nevertheless, they usually neglect the diversity of the user's intents on adopting items and fail to…
Global Context Enhanced Graph Neural Networks for Session-based Recommendation
Ziyang Wang, Wei Wei, Gao Cong +3
Session-based recommendation (SBR) is a challenging task, which aims at recommending items based on anonymous behavior sequences. Almost all the existing solutions for SBR model us…
Exploiting Group-level Behavior Pattern forSession-based Recommendation
Ziyang Wang, Wei Wei, Xian-Ling Mao +2
Session-based recommendation (SBR) is a challenging task, which aims to predict users' future interests based on anonymous behavior sequences. Existing methods leverage powerful re…
User-based Network Embedding for Collective Opinion Spammer Detection
Ziyang Wang, Wei Wei, Xian-Ling Mao +3
Due to the huge commercial interests behind online reviews, a tremendousamount of spammers manufacture spam reviews for product reputation manipulation. To further enhance the infl…
Exploring Global Information for Session-based Recommendation
Ziyang Wang, Wei Wei, Gao Cong +4
Session-based recommendation (SBR) is a challenging task, which aims at recommending items based on anonymous behavior sequences. Most existing SBR studies model the user preferenc…
Complicated Table Structure Recognition
Zewen Chi, Heyan Huang, Heng-Da Xu +3
The task of table structure recognition aims to recognize the internal structure of a table, which is a key step to make machines understand tables. Currently, there are lots of st…
Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning
Rong-Cheng Tu, Xian-Ling Mao, Bing Ma +4
Due to their high retrieval efficiency and low storage cost, cross-modal hashing methods have attracted considerable attention. Generally, compared with shallow cross-modal hashing…