Chuan Shi

Structure design for prediction system of radar electromagnetic environment on dynamic battlefield

2016

The prediction system of radar electromagnetic environment on dynamic battlefield helps people full understand the effect of external radar electromagnetic to combat action in different war situations. Thereby electronic information arm system can be used …

Geometric Disentangled Collaborative Filtering

2022 · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Learning informative representations of users and items from the historical interactions is crucial to collaborative filtering (CF). Existing CF approaches usually model interactions solely within the Euclidean space. However, the sophisticated user-item interactions inherently present …

Learning Social Graph for Inactive User Recommendation

2024 · arXiv (Cornell University)

Social relations have been widely incorporated into recommender systems to alleviate data sparsity problem. However, raw social relations don't always benefit recommendation due to their inferior quality and insufficient quantity, especially for inactive users, whose …

Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks

2015

Recently heterogeneous information network (HIN) analysis has attracted a lot of attention, and many data mining tasks have been exploited on HIN. As an important data mining task, recommender system includes a lot of object …

Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model

2018

Heterogeneous information network (HIN) has been widely adopted in recommender systems due to its excellence in modeling complex context information. Although existing HIN based recommendation methods have achieved performance improvement to some extent, they have …

Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network

2018

Since heterogeneous information network (HIN) is able to integrate complex information and contain rich semantics, there is a surge of HIN based recommendation in recent years. Although existing methods have achieved performance improvement to some …

Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

2019

With the prevalence of mobile e-commerce nowadays, a new type of recommendation services, called intent recommendation, is widely used in many mobile e-commerce Apps, such as Taobao and Amazon. Different from traditional query recommendation and …

Heterogeneous Information Network Embedding for Recommendation

2018 · IEEE Transactions on Knowledge and Data Engineering

Due to the flexibility in modelling data heterogeneity, heterogeneous information network (HIN) has been adopted to characterize complex and heterogeneous auxiliary data in recommender systems, calledHIN based recommendation. It is challenging to develop effective methods …

Graph Neural News Recommendation with Unsupervised Preference Disentanglement

2020

With the explosion of news information, personalized news recommendation has become very important for users to quickly find their interested contents. Most existing methods usually learn the representations of users and news from news contents …

Interpreting and Unifying Graph Neural Networks with An Optimization Framework

2021

Graph Neural Networks (GNNs) have received considerable attention on graph-structured data learning for a wide variety of tasks. The well-designed propagation mechanism which has been demonstrated effective is the most fundamental part of GNNs. Although …