2 citations · 3 across the 5 of their papers we have counts for
5 papers
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
Zhenghao Liu, Sen Mei, Chenyan Xiong +5
This paper proposes Text mAtching based SequenTial rEcommendation model (TASTE), which maps items and users in an embedding space and recommends items by matching their text repres…
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data
Xinze Li, Zhenghao Liu, Chenyan Xiong +4
This paper presents Structure Aware Dense Retrieval (SANTA) model, which encodes user queries and structured data in one universal embedding space for retrieving structured data. S…
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
Yumeng Song, Yu Gu, Tianyi Li +4
Hypergraphs can model higher-order relationships among data objects that are found in applications such as social networks and bioinformatics. However, recent studies on hypergraph…
SkyCell: A Space-Pruning Based Parallel Skyline Algorithm
Chuanwen Li, Yu Gu, Jianzhong Qi +1
Skyline computation is an essential database operation that has many applications in multi-criteria decision making scenarios such as recommender systems. Existing algorithms have…
INSQ: An Influential Neighbor Set Based Moving kNN Query Processing System
Chuanwen Li, Yu Gu, Jianzhong Qi +3
We revisit the moving k nearest neighbor (MkNN) query, which computes one's k nearest neighbor set and maintains it while at move. Existing MkNN algorithms are mostly safe region b…