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ORCIDKazunari Sugiyama
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2020 – today
- 2024
[j13]Yosuke Saito
, Kazunari Sugiyama:
Leveraging multiple behaviors and explicit preferences for job recommendation. Expert Syst. Appl. 258: 125149 (2024)- [j12]Taishi Hosokawa, Adam Jatowt, Kazunari Sugiyama:
Temporal validity reassessment: commonsense reasoning about information obsoleteness. Discov. Comput. 27(1): 4 (2024) - [j11]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): 1-2 (2024) - [j10]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
Less is More: Removing Redundancy of Graph Convolutional Networks for Recommendation. ACM Trans. Inf. Syst. 42(3): 85:1-85:26 (2024) - [c42]Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine:
How Powerful is Graph Filtering for Recommendation. KDD 2024: 2388-2399 - [c41]Yi Yu, Kazunari Sugiyama, Adam Jatowt:
Sequential Recommendation with Collaborative Explanation via Mutual Information Maximization. SIGIR 2024: 1062-1072 - [i10]Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine:
How Powerful is Graph Filtering for Recommendation. CoRR abs/2406.08827 (2024) - [i9]Shaowen Peng, Kazunari Sugiyama, Xin Liu, Tsunenori Mine:
Balancing Embedding Spectrum for Recommendation. CoRR abs/2406.12032 (2024) - 2023
- [c40]Taishi Hosokawa, Adam Jatowt, Kazunari Sugiyama:
Temporal Natural Language Inference: Evidence-Based Evaluation of Temporal Text Validity. ECIR (1) 2023: 441-458 - [c39]Hiroshi Wayama, Kazunari Sugiyama:
The Effectiveness of Quantum Random Walk Model in Recommender Systems. ICTIR 2023: 225-234 - [c38]Yosuke Saito, Kazunari Sugiyama:
Multi-Behavior Job Recommendation with Dynamic Availability. SIGIR-AP 2023: 264-271 - [c37]Yi Yu, Kazunari Sugiyama, Adam Jatowt:
AdaReX: Cross-Domain, Adaptive, and Explainable Recommender System. SIGIR-AP 2023: 272-281 - 2022
- [j9]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): 124-132 (2022) - [j8]Yohei Seki, Kangkang Zhao, Masaki Oguni, Kazunari Sugiyama:
CNN-based framework for classifying temporal relations with question encoder. Int. J. Digit. Libr. 23(2): 167-177 (2022) - [c36]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. CIKM 2022: 1625-1634 - [c35]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
Less is More: Reweighting Important Spectral Graph Features for Recommendation. SIGIR 2022: 1273-1282 - [c34]Yosuke Saito, Kazunari Sugiyama:
Job Recommendation Based on Multiple Behaviors and Explicit Preferences. WI/IAT 2022: 1-8 - [c33]Akihiro Kokubo, Kazunari Sugiyama:
Explainable Recommendation Enhancing Review Properties and PPLM. WI/IAT 2022: 151-158 - [i8]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
Less is More: Reweighting Important Spectral Graph Features for Recommendation. CoRR abs/2204.11346 (2022) - [i7]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. CoRR abs/2208.12689 (2022) - 2021
- [j7]Yiling Dai, Masatoshi Yoshikawa, Kazunari Sugiyama:
Prerequisite-aware course ordering towards getting relevant job opportunities. Expert Syst. Appl. 183: 115233 (2021) - [c32]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: 377-387 - [c31]Yuki Yamanaka, Kazunari Sugiyama:
Generalized Negative Sampling for Implicit Feedback in Recommendation. WI/IAT 2021: 544-549 - [e1]Hao-Ren Ke, Chei Sian Lee, Kazunari Sugiyama:
Towards Open and Trustworthy Digital Societies - 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, Virtual Event, December 1-3, 2021, Proceedings. Lecture Notes in Computer Science 13133, Springer 2021, ISBN 978-3-030-91668-8 [contents] - 2020
- [j6]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): 5 (2020) - [c30]Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. CIKM 2020: 1165-1174 - [c29]Yohei Seki, Kangkang Zhao, Masaki Oguni, Kazunari Sugiyama:
A Framework for Classifying Temporal Relations with Question Encoder. ICADL 2020: 20-32 - [i6]Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. CoRR abs/2008.07939 (2020)
2010 – 2019
- 2019
- [c28]Xuan Su, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Neural Multi-task Learning for Citation Function and Provenance. JCDL 2019: 394-395 - [c27]Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama:
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture. NAACL-HLT (1) 2019: 3148-3157 - 2018
- [c26]Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder:
Treatment Side Effect Prediction from Online User-generated Content. Louhi@EMNLP 2018: 12-21 - [c25]Shenhao Jiang, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Identifying Emergent Research Trends by Key Authors and Phrases. COLING 2018: 259-269 - [i5]Xuan Su, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Neural Multi-Task Learning for Citation Function and Provenance. CoRR abs/1811.07351 (2018) - 2017
- [c24]Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama:
Health Forum Thread Recommendation Using an Interest Aware Topic Model. CIKM 2017: 1589-1598 - 2016
- [c23]Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua:
Scrutinizing Mobile App Recommendation: Identifying Important App-Related Indicators. AIRS 2016: 197-211 - [c22]Jerome Cheng, Kazunari Sugiyama, Min-Yen Kan:
Linking Organizational Social Network Profiles. SIGIR 2016: 901-904 - [i4]Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama:
Generating Abstractive Summaries from Meeting Transcripts. CoRR abs/1609.07033 (2016) - [i3]Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama:
Multi-document abstractive summarization using ILP based multi-sentence compression. CoRR abs/1609.07034 (2016) - [i2]Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama:
Abstractive Meeting Summarization UsingDependency Graph Fusion. CoRR abs/1609.07035 (2016) - 2015
- [j5]Kazunari Sugiyama, Min-Yen Kan:
A comprehensive evaluation of scholarly paper recommendation using potential citation papers. Int. J. Digit. Libr. 16(2): 91-109 (2015) - [j4]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): 4:1-4:16 (2015) - [j3]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) - [c21]Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama:
Generating Abstractive Summaries from Meeting Transcripts. DocEng 2015: 51-60 - [c20]Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama:
Multi-Document Abstractive Summarization Using ILP Based Multi-Sentence Compression. IJCAI 2015: 1208-1214 - [c19]Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama:
Abstractive Meeting Summarization Using Dependency Graph Fusion. WWW (Companion Volume) 2015: 5-6 - 2014
- [c18]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: 233-242 - [c17]Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua:
New and improved: modeling versions to improve app recommendation. SIGIR 2014: 647-656 - 2013
- [c16]Upasna Bhandari, Kazunari Sugiyama, Anindya Datta, Rajni Jindal:
Serendipitous Recommendation for Mobile Apps Using Item-Item Similarity Graph. AIRS 2013: 440-451 - [c15]Kazunari Sugiyama, Min-Yen Kan:
Exploiting potential citation papers in scholarly paper recommendation. JCDL 2013: 153-162 - [c14]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: 283-292 - 2012
- [j2]Luanne Freund, Edie Rasmussen, Kazunari Sugiyama:
Introduction to the 2011 JCDL Doctoral Consortium Issue. Bull. IEEE Tech. Comm. Digit. Libr. 8(1) (2012) - [c13]Jonathan Y. H. Poon, Kazunari Sugiyama, Yee Fan Tan, Min-Yen Kan:
Instructor-centric source code plagiarism detection and plagiarism corpus. ITiCSE 2012: 122-127 - 2011
- [c12]Kazunari Sugiyama, Min-Yen Kan:
Serendipitous recommendation for scholarly papers considering relations among researchers. JCDL 2011: 307-310 - [c11]Duy Khang Ly, Kazunari Sugiyama, Ziheng Lin, Min-Yen Kan:
Product review summarization from a deeper perspective. JCDL 2011: 311-314 - [i1]Duy Khang Ly, Kazunari Sugiyama, Ziheng Lin, Min-Yen Kan:
Product Review Summarization based on Facet Identification and Sentence Clustering. CoRR abs/1110.1428 (2011) - 2010
- [c10]Kazunari Sugiyama, Min-Yen Kan:
Scholarly paper recommendation via user's recent research interests. JCDL 2010: 29-38 - [c9]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: 387-388
2000 – 2009
- 2009
- [c8]Kazunari Sugiyama, Manabu Okumura:
Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation. CICLing 2009: 266-279 - 2007
- [c7]Kazunari Sugiyama, Manabu Okumura:
Personal Name Disambiguation in Web Search Results Based on a Semi-supervised Clustering Approach. ICADL 2007: 250-256 - [c6]Kazunari Sugiyama, Manabu Okumura:
TITPI: Web People Search Task Using Semi-Supervised Clustering Approach. SemEval@ACL 2007: 318-321 - 2005
- [j1]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. Syst. Comput. Jpn. 36(14): 56-68 (2005) - 2004
- [c5]Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa, Shunsuke Uemura:
User-Oriented Adaptive Web Information Retrieval Based on Implicit Observations. APWeb 2004: 636-643 - [c4]Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa:
Adaptive web search based on user profile constructed without any effort from users. WWW 2004: 675-684 - 2003
- [c3]Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa, Shunsuke Uemura:
Refinement of TF-IDF schemes for web pages using their hyperlinked neighboring pages. Hypertext 2003: 198-207 - 2002
- [c2]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: 891-901
1990 – 1999
- 1999
- [c1]Koichi Yamada, Kazunari Sugiyama, Yasunori Yonamine, Hiroshi Nakagawa:
Identification of Coreference Between Names and Faces. COREF@ACL 1999
Coauthor Index
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last updated on 2024-10-07 22:08 CEST by the dblp team
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