Fast and exact top-k search for random walk with restart Y Fujiwara, M Nakatsuji, M Onizuka, M Kitsuregawa arXiv preprint arXiv:1201.6566, 2012 | 129 | 2012 |
Efficient personalized pagerank with accuracy assurance Y Fujiwara, M Nakatsuji, T Yamamuro, H Shiokawa, M Onizuka Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 68 | 2012 |
Classical music for rock fans? Novel recommendations for expanding user interests M Nakatsuji, Y Fujiwara, A Tanaka, T Uchiyama, K Fujimura, T Ishida Proceedings of the 19th ACM international conference on Information and …, 2010 | 65 | 2010 |
Efficient search algorithm for SimRank Y Fujiwara, M Nakatsuji, H Shiokawa, M Onizuka 2013 IEEE 29th International Conference on Data Engineering (ICDE), 589-600, 2013 | 56 | 2013 |
Efficient ad-hoc search for personalized pagerank Y Fujiwara, M Nakatsuji, H Shiokawa, T Mishima, M Onizuka Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 46 | 2013 |
Detecting innovative topics based on user-interest ontology M Nakatsuji, M Yoshida, T Ishida Journal of web semantics 7 (2), 107-120, 2009 | 39 | 2009 |
Fast and exact top-k algorithm for pagerank Y Fujiwara, M Nakatsuji, H Shiokawa, T Mishima, M Onizuka Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 2013 | 30 | 2013 |
Innovation detection based on user-interest ontology of blog community M Nakatsuji, Y Miyoshi, Y Otsuka International Semantic Web Conference, 515-528, 2006 | 30 | 2006 |
Recommendations Over Domain Specific User Graphs. M Nakatsuji, Y Fujiwara, A Tanaka, T Uchiyama, T Ishida ECAI, 607-612, 2010 | 28 | 2010 |
Collaborative filtering by analyzing dynamic user interests modeled by taxonomy M Nakatsuji, Y Fujiwara, T Uchiyama, H Toda International Semantic Web Conference, 361-377, 2012 | 25 | 2012 |
Linked taxonomies to capture usersʼ subjective assessments of items to facilitate accurate collaborative filtering M Nakatsuji, Y Fujiwara Artificial Intelligence 207, 52-68, 2014 | 21 | 2014 |
Adaptive message update for fast affinity propagation Y Fujiwara, M Nakatsuji, H Shiokawa, Y Ida, M Toyoda Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 20 | 2015 |
Semantic data representation for improving tensor factorization M Nakatsuji, Y Fujiwara, H Toda, H Sawada, J Zheng, J Hendler Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 17 | 2014 |
Computational dissemination: Toward precision and smart impacts for computational social systems FY Wang IEEE Transactions on Computational Social Systems 4 (4), 193-195, 2017 | 15 | 2017 |
Semantic social network analysis by cross-domain tensor factorization M Nakatsuji, Q Zhang, X Lu, B Makni, JA Hendler IEEE Transactions on Computational Social Systems 4 (4), 207-217, 2017 | 15 | 2017 |
Semantic sensitive tensor factorization M Nakatsuji, H Toda, H Sawada, JG Zheng, JA Hendler Artificial Intelligence 230, 224-245, 2016 | 14 | 2016 |
User similarity from linked taxonomies: Subjective assessments of items M Nakatsuji, Y Fujiwara, T Uchiyama, K Fujimura Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 10 | 2011 |
Proposal and verification of flexible interface mapping technique for automatic system cooperation based on semantics M Nakatsuji, Y Miyoshi, T Kimura The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05 …, 2005 | 7 | 2005 |
Advanced index refinement by classifiers and distillers in P2P resource discovery M Nakatsuji International Conference on Intelligent Agents Web Technology and Internet …, 2003 | 6 | 2003 |
The architecture and performance of topic‐driven P2P resource discovery system M Nakatsuji, M Kawahara, H Kawano Systems and Computers in Japan 38 (5), 69-79, 2007 | 5 | 2007 |