Feng Xia

Scientific Paper Recommendation: A Survey

2020 · IEEE Access

Globally, the recommendation services have become important due to the fact that they support e-commerce applications and different research communities. Recommender systems have a large number of applications in many fields, including economic, education, and …

Resource requests prediction in the cloud computing environment with a deep belief network

2016 · Software Practice and Experience

Summary Accurate resource requests prediction is essential to achieve optimal job scheduling and load balancing for cloud Computing. Existing prediction approaches fall short in providing satisfactory accuracy because of high variances of cloud metrics. We …

Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction

2019 · IEEE Transactions on Knowledge and Data Engineering

In article recommendation, the amount of time user spends on viewing articles, dwell time, is an important metric to measure the post-click engagement of user on content and has been widely used as a proxy …

Multivariate Relations Aggregation Learning in Social Networks

2020

Multivariate relations are general in various types of networks, such as biological networks, social networks, transportation networks, and academic networks. Due to the principle of ternary closures and the trend of group formation, the multivariate …

Multi-granularity Fatigue in Recommendation

2022 · Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Personalized recommendation aims to provide appropriate items according to user preferences mainly from their behaviors. Excessive homogeneous user behaviors on similar items will lead to fatigue, which may decrease user activeness and degrade user experience. …

Foundation Models for Anomaly Detection: Vision and Challenges

2025 · AI Magazine

Abstract As data continues to grow in volume and complexity across domains such as finance, manufacturing, and healthcare, effective anomaly detection is essential for identifying irregular patterns that may signal critical issues. Recently, foundation models …