Kazunari Sugiyama

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 37

Top Topics

Temporal Relations

Recommender Systems

Selected Papers

Top Venues

Int. J. Digit. Libr.

Publications

Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine
How Powerful is Graph Filtering for Recommendation. KDD (2024)
Yi Yu, Kazunari Sugiyama, Adam Jatowt
Sequential Recommendation with Collaborative Explanation via Mutual Information Maximization. SIGIR (2024)
Shaowen Peng, Kazunari Sugiyama, Xin Liu, Tsunenori Mine
Balancing Embedding Spectrum for Recommendation. CoRR (2024)
Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine
How Powerful is Graph Filtering for Recommendation. CoRR (2024)
Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine
Less is More: Removing Redundancy of Graph Convolutional Networks for Recommendation. ACM Trans. Inf. Syst. 42 (3) (2024)
Emi Ishita, Sue Yeon Syn, Hao-Ren Ke, Chei Sian Lee, Kazunari Sugiyama
Special issue on selected papers from ICADL 2021. Int. J. Digit. Libr. 25 (1) (2024)
Taishi Hosokawa, Adam Jatowt, Kazunari Sugiyama
Temporal validity reassessment: commonsense reasoning about information obsoleteness. Discov. Comput. 27 (1) (2024)
Yi Yu, Kazunari Sugiyama, Adam Jatowt
AdaReX: Cross-Domain, Adaptive, and Explainable Recommender System. SIGIR-AP (2023)
Hiroshi Wayama, Kazunari Sugiyama
The Effectiveness of Quantum Random Walk Model in Recommender Systems. ICTIR (2023)
Yosuke Saito, Kazunari Sugiyama
Multi-Behavior Job Recommendation with Dynamic Availability. SIGIR-AP (2023)
Taishi Hosokawa, Adam Jatowt, Kazunari Sugiyama
Temporal Natural Language Inference: Evidence-Based Evaluation of Temporal Text Validity. ECIR (1) (2023)
Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine
Less is More: Reweighting Important Spectral Graph Features for Recommendation. CoRR (2022)
Yosuke Saito, Kazunari Sugiyama
Job Recommendation Based on Multiple Behaviors and Explicit Preferences. WI/IAT (2022)
Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. CIKM (2022)
Akihiro Kokubo, Kazunari Sugiyama
Explainable Recommendation Enhancing Review Properties and PPLM. WI/IAT (2022)
Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. CoRR (2022)
Yohei Seki, Kangkang Zhao, Masaki Oguni, Kazunari Sugiyama
CNN-based framework for classifying temporal relations with question encoder. Int. J. Digit. Libr. 23 (2) (2022)
Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan
FANG: leveraging social context for fake news detection using graph representation. Commun. ACM 65 (4) (2022)
Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine
Less is More: Reweighting Important Spectral Graph Features for Recommendation. SIGIR (2022)
Yiling Dai, Masatoshi Yoshikawa, Kazunari Sugiyama
Prerequisite-aware course ordering towards getting relevant job opportunities. Expert Syst. Appl. 183 (2021)
Yi Yu, Adam Jatowt, Antoine Doucet, Kazunari Sugiyama, Masatoshi Yoshikawa
Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries. ACL/IJCNLP (1) (2021)
Yuki Yamanaka, Kazunari Sugiyama
Generalized Negative Sampling for Implicit Feedback in Recommendation. WI/IAT (2021)
Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. CIKM (2020)
Van-Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder
Neural side effect discovery from user credibility and experience-assessed online health discussions. J. Biomed. Semant. 11 (1) (2020)
Yohei Seki, Kangkang Zhao, Masaki Oguni, Kazunari Sugiyama
A Framework for Classifying Temporal Relations with Question Encoder. ICADL (2020)
Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. CoRR (2020)
Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture. NAACL-HLT (1) (2019)
Xuan Su, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama
Neural Multi-task Learning for Citation Function and Provenance. JCDL (2019)
Xuan Su, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama
Neural Multi-Task Learning for Citation Function and Provenance. CoRR (2018)
Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder
Treatment Side Effect Prediction from Online User-generated Content. Louhi@EMNLP (2018)
Shenhao Jiang, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama
Identifying Emergent Research Trends by Key Authors and Phrases. COLING (2018)
Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama
Health Forum Thread Recommendation Using an Interest Aware Topic Model. CIKM (2017)
Jerome Cheng, Kazunari Sugiyama, Min-Yen Kan
Linking Organizational Social Network Profiles. SIGIR (2016)
Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua
Scrutinizing Mobile App Recommendation: Identifying Important App-Related Indicators. AIRS (2016)
Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Multi-document abstractive summarization using ILP based multi-sentence compression. CoRR (2016)
Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Generating Abstractive Summaries from Meeting Transcripts. CoRR (2016)
Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Abstractive Meeting Summarization UsingDependency Graph Fusion. CoRR (2016)
Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Abstractive Meeting Summarization Using Dependency Graph Fusion. WWW (Companion Volume) (2015)
Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Generating Abstractive Summaries from Meeting Transcripts. DocEng (2015)
Kazunari Sugiyama, Catherine L. Smith
Introduction to the 2015 Joint Conference on Digital Libraries Doctoral Consortium Issue. Bull. IEEE Tech. Comm. Digit. Libr. 11 (3) (2015)
Kazunari Sugiyama, Min-Yen Kan
A comprehensive evaluation of scholarly paper recommendation using potential citation papers. Int. J. Digit. Libr. 16 (2) (2015)
Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama
Multi-Document Abstractive Summarization Using ILP Based Multi-Sentence Compression. IJCAI (2015)
Kazunari Sugiyama, Min-Yen Kan
"Towards higher relevance and serendipity in scholarly paper recommendation" by Kazunari Sugiyama and Min-Yen Kan with Martin Vesely as coordinator. SIGWEB Newsl. 2015 (Winter) (2015)
Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua
New and improved: modeling versions to improve app recommendation. SIGIR (2014)
Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, Kazunari Sugiyama
Predicting the popularity of web 2.0 items based on user comments. SIGIR (2014)
Kazunari Sugiyama, Min-Yen Kan
Exploiting potential citation papers in scholarly paper recommendation. JCDL (2013)
Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua
Addressing cold-start in app recommendation: latent user models constructed from twitter followers. SIGIR (2013)
Upasna Bhandari, Kazunari Sugiyama, Anindya Datta, Rajni Jindal
Serendipitous Recommendation for Mobile Apps Using Item-Item Similarity Graph. AIRS (2013)
Jonathan Y. H. Poon, Kazunari Sugiyama, Yee Fan Tan, Min-Yen Kan
Instructor-centric source code plagiarism detection and plagiarism corpus. ITiCSE (2012)
Luanne Freund, Edie Rasmussen, Kazunari Sugiyama
Introduction to the 2011 JCDL Doctoral Consortium Issue. Bull. IEEE Tech. Comm. Digit. Libr. 8 (1) (2012)
Duy Khang Ly, Kazunari Sugiyama, Ziheng Lin, Min-Yen Kan
Product review summarization from a deeper perspective. JCDL (2011)
Duy Khang Ly, Kazunari Sugiyama, Ziheng Lin, Min-Yen Kan
Product Review Summarization based on Facet Identification and Sentence Clustering CoRR (2011)
Kazunari Sugiyama, Min-Yen Kan
Serendipitous recommendation for scholarly papers considering relations among researchers. JCDL (2011)
Kazunari Sugiyama, Min-Yen Kan
Scholarly paper recommendation via user's recent research interests. JCDL (2010)
Thuy Dung Nguyen, Min-Yen Kan, Dinh-Trung Dang, Markus Hänse, Ching Hoi Andy Hong, Minh-Thang Luong, Jesse Prabawa Gozali, Kazunari Sugiyama, Yee Fan Tan
ForeCite: towards a reader-centric scholarly digital library. JCDL (2010)
Kazunari Sugiyama, Manabu Okumura
Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation. CICLing (2009)
Kazunari Sugiyama, Manabu Okumura
TITPI: Web People Search Task Using Semi-Supervised Clustering Approach. SemEval@ACL (2007)
Kazunari Sugiyama, Manabu Okumura
Personal Name Disambiguation in Web Search Results Based on a Semi-supervised Clustering Approach. ICADL (2007)
Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa, Shunsuke Uemura
Improvement in TF-IDF scheme for Web pages based on the contents of their hyperlinked neighboring pages. Systems and Computers in Japan 36 (14) (2005)
Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa
Adaptive web search based on user profile constructed without any effort from users. WWW (2004)
Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa, Shunsuke Uemura
User-Oriented Adaptive Web Information Retrieval Based on Implicit Observations. APWeb (2004)
Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa, Shunsuke Uemura
Refinement of TF-IDF schemes for web pages using their hyperlinked neighboring pages. Hypertext (2003)
Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa, Shunsuke Uemura
A Method of Improving Feature Vector for Web Pages Reflecting the Contents of Their Out-Linked Pages. DEXA (2002)
Koichi Yamada, Kazunari Sugiyama, Yasunori Yonamine, Hiroshi Nakagawa
Identification of Coreference Between Names and Faces. COREF@ACL (1999)