Shoujin Wang

Study on Modeling of Local Intelligent Traffic Scheduling

2017

In order to alleviate the congestion of urban traffic roads, reduce the tension of congestion and reduce travel time, through traffic simulation, we can predict and evaluate the actual traffic situation, so as to layout …

Aspect-driven User Preference and News Representation Learning for News Recommendation

2021 · arXiv (Cornell University)

News recommender systems are essential for helping users to efficiently and effectively find out those interesting news from a large amount of news. Most of existing news recommender systems usually learn topic-level representations of users …

Weakly Supervised Chinese Short Text Classification Algorithm Based on ConWea Model

2022

The version sort algorithm based on full supervision needs to use a large amount of label data, and the labeling task of text data is time-consuming and difficult to label. Finally, use high-quality pseudo-label data …

Sequential Recommender Systems: Challenges, Progress and Prospects

2019 · UTS ePRESS (University of Technology Sydney)

The emerging topic of sequential recommender systems (SRSs) has attracted increasing attention in recent years. Different from the conventional recommender systems (RSs) including collaborative filtering and content-based filtering, SRSs try to understand and model the …

A Survey on Session-based Recommender Systems

2021 · ACM Computing Surveys

Recommender systems (RSs) have been playing an increasingly important role for informed consumption, services, and decision-making in the overloaded information era and digitized economy. In recent years, session-based recommender systems (SBRSs) have emerged as a …