Takahiko Ito

[English|Japanese]

Profile

Affliation: Recruit Technologies (Advanced Technology Lab)
Email: takahiko03 -at- gmail.com
Picture
In Wakayama
Miscellaneous
Twitter
Blog (Japanese only)
LinkedIn
GitHub
Slides (Slideshare)

Research Interest

  • Data / Text Mining, Knowledge Discovery
  • Natural Language Processing (Japanese Tokenizer, Entity Extractor etc)
  • Citation and Link Analysis
  • Machine Learning

Technical Skills

  • Languages: C++, Ruby, Python, Perl, Java
  • Platforms: Linux, Windows
  • Data Base Systems: MySQL
  • Continuous Integration System: CruiseControl
  • Source Revision Controls: Subversion, CVS
  • Build Tools: Make, Ant, Maven, Ivy, Waf
  • Java Related: Servlet, JSP, Eclipse, IntelliJ
  • Distributed Systems: Hadoop, HBase, Cassandra, Solr, Lucene
  • Now learning: GlassFish, Spring Framework, Git, JavaScript, JQuery, Scheme

Software

Publication List

  • Masashi Shimbo, Takahiko Ito, Daichi Mochihashi, Yuji Matsumoto. On the Properties of von Neumann Kernels for Link Analysis. Machine Learning, 75:37-67, 2009.
  • Harendra Bhandari, Masashi Shimbo, Takahiko Ito and Yuji Matsumoto, Generic Text Summarization Using Probabilistic Latent Semantic Indexing. In Proceedings of the 3rd International Joint Conference on Natural Language Processing, pp.133-140. Hyderabad, India, January 2008.
  • Masashi Shimbo, Takahiko Ito and Yuji Matsumoto. Evaluation of kernel-based link analysis measures on research paper recommendation. In Proceedings of the 7th ACM/IEEE Joint Conference Digital Libraries (JCDL 2007), pp.354-355. Vancouver, BC, Canada, June 2007.
  • Takahiko Ito, Masashi Shimbo, Daichi Mochihashi and Yuji Matsumoto. Investigating the effect of multiple communities on kernel-based citation analysis .The Second International Special Workshop on Databases for Next-Generation Researchers, April 2006.
  • Takahiko Ito, Masashi Shimbo, Daichi Mochihashi and Yuji Matsumoto.Exploring Multiple Communities with Kernel-Based Link Analysis. 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Lecture Notes in Artificial Intelligence 4213, pp.235-246, Springer, September 2006.
  • Masashi Shimbo and Takahiko Ito. Kernels as link analysis measures. D. Cook and L. Holder (eds.), Mining Graph Data, Chapter 12, pp.283-310, John Wiley & Sons, December 2006.
  • Takahiko Ito, Massashi Shimbo, Taku Kudo, Yuji Matsumoto. Application of Kernels to Link Analysis, The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2005.
  • Takahiko Ito, Masashi Shimbo, Takahiro Yamasaki,Yuji Matsumoto. Semi-supervised sentence classification for MEDLINE documents. Joint Workshop of Vietnamese Society of AI,SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining.
  • Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Matsumoto. Link Analysis with Kernels. Technical Report, NAIST-IS-TR20004008, Nara Institute Science and Technology, 2004.
  • Takahiko Ito, Massashi Shimbo, Taku Kudo, Yuji Matsumoto. Application of Kernels to Link Analysis: First Results, Second International Workshop on Mining Graphs, Trees and Sequences. 2004.

Awards

  • Best Paper Award, Data Engineering Workshop, Japan, 2006.
  • Best Paper Award, Journal of Japanese Society of Artificial Intelligence, 2004.

Educational History

  • Docter of Engineering (Nara Institute of Science and Technology, 2007)
  • Master of Engineering (Nara Institute of Science and Technology, 2004)
  • Bachelor of Business Administration (Tama University, 2002)