40 citations · 91 across the 19 of their papers we have counts for
5 papers · 1 filter
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
Boming Yang, Dairui Liu, Toyotaro Suzumura +2
Precisely recommending candidate news articles to users has always been a core challenge for personalized news recommendation systems. Most recent works primarily focus on using ad…
Enhancing Topic Extraction in Recommender Systems with Entropy Regularization
Xuefei Jiang, Dairui Liu, Ruihai Dong
In recent years, many recommender systems have utilized textual data for topic extraction to enhance interpretability. However, our findings reveal a noticeable deficiency in the c…
Topic-Centric Explanations for News Recommendation
Dairui Liu, Derek Greene, Irene Li +2
News recommender systems (NRS) have been widely applied for online news websites to help users find relevant articles based on their interests. Recent methods have demonstrated con…
Learning to Generalize for Cross-domain QA
Yingjie Niu, Linyi Yang, Ruihai Dong +1
There have been growing concerns regarding the out-of-domain generalization ability of natural language processing (NLP) models, particularly in question-answering (QA) tasks. Curr…
Industry Classification Using a Novel Financial Time-Series Case Representation
Rian Dolphin, Barry Smyth, Ruihai Dong
The financial domain has proven to be a fertile source of challenging machine learning problems across a variety of tasks including prediction, clustering, and classification. Rese…