17 citations · 23 across the 6 of their papers we have counts for
6 papers
HI-Series Algorithms A Hybrid of Substance Diffusion Algorithm and Collaborative Filtering
Yu Peng, Ya-Hui An
Recommendation systems face the challenge of balancing accuracy and diversity, as traditional collaborative filtering (CF) and network-based diffusion algorithms exhibit complement…
The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums
Ya-Hui An, Muthu Kumar Chandresekaran, Min-Yen Kan +1
New learning resources are created and minted in Massive Open Online Courses every week -- new videos, quizzes, assessments and discussion threads are deployed and interacted with…
Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts
Ya-Hui An, Qiang Dong, Quan Yuan +1
Nowadays, recommender systems (RSes) are becoming increasingly important to individual users and business marketing, especially in the online e-commerce scenarios. However, while t…
Resource Mention Extraction for MOOC Discussion Forums
Ya-Hui An, Liangming Pan, Min-Yen Kan +2
In discussions hosted on discussion forums for MOOCs, references to online learning resources are often of central importance. They contextualize the discussion, anchoring the disc…
Diffusion-like recommendation with enhanced similarity of objects
Ya-Hui An, Qiang Dong, Chong-Jing Sun +2
In last decades, diversity and accuracy have been regarded as two important measures in evaluating a recommendation model. However, a clear concern is that a model focusing excessi…
Information Filtering via Balanced Diffusion on Bipartite Networks
Da-Cheng Nie, Ya-Hui An, Qiang Dong +2
Recent decade has witnessed the increasing popularity of recommender systems, which help users acquire relevant commodities and services from overwhelming resources on Internet. So…