Yu Luo · PaperMetrix

Multi-attribute Collaborative Filtering Recommendation

2015

Currently researchers in the field of personalized recommendations bear little consideration on users' interest differences in resource attributes although re- source attribute is usually one of the most important factors in determining user pref- erences. …

Explicit Sparse Self-Attentive Network for CTR Prediction

2021 · Procedia Computer Science

The click-through rate (CTR) prediction is an essential task in the recommendation system. Available raw category features and feature combinations are important for CTR prediction, but their sparsity and high-dimension lead to huge computation. In …

Extraction of Specific Arguments from Chinese Financial News with out-of-domain Samples

2021 · Procedia Computer Science

The object and evidence are two important parts of financial fraud detection (FFD). In traditional FFD tasks, the detected object generally refers to the enterprise involved in typical financial fraud events, and the evidence comes …

Predicting Integer Overflow Errors via Supervised Learning

2022 · International Journal of Artificial Intelligence Tools

An integer overflow error occurs when an integer operation in computer software evaluates a value out of the integer range. It can lead to a fatal system failure. The existing approaches to detecting integer overflow …

Stimulation and effectiveness of sense of work gain for scientific and technological innovators

2024 · Social Behavior and Personality An International Journal

The talents of scientific and technological (sci-tech) innovators are crucial in maintaining the competitiveness of an organization. Based on organizational support theory, we examined the stimulation and effectiveness of sense of work gain in a …

Bayesian inference for the Markov-modulated Poisson process with an outcome process

2025 · Journal of the Royal Statistical Society Series C (Applied Statistics)