Web IR NLP Group @ NUS
Web IR NLP Group @ NUS
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Kazunari Sugiyama
Postdoctoral Alumnus
National University of Singapore, School of Computing
Interests
Scholarly Document Processing
Information Retrieval
Recommendation Systems
Latest
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture
Treatment Side Effect Prediction from Online User-generated Content
Identifying Emergent Research Trends by Key Authors and Phrases
Health Forum Thread Recommendation Using an Interest Aware Topic Model
Linking Organizational Social Network Profiles
Scrutinizing Mobile App Recommendation: Identifying Important App-Related Indicators
A comprehensive evaluation of scholarly paper recommendation using potential citation papers
\"Towards higher relevance and serendipity in scholarly paper recommendation\" by Kazunari Sugiyama and Min-Yen Kan with Martin Vesely as coordinator
New and improved: modeling versions to improve app recommendation
Predicting the popularity of web 2.0 items based on user comments
Addressing cold-start in app recommendation: latent user models constructed from twitter followers
Exploiting potential citation papers in scholarly paper recommendation
Instructor-centric source code plagiarism detection and plagiarism corpus
Product review summarization from a deeper perspective
Serendipitous recommendation for scholarly papers considering relations among researchers
ForeCite: towards a reader-centric scholarly digital library
Scholarly paper recommendation via user's recent research interests
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