川前 徳章 (Noriaki Kawamae)

Biography

NTTコムウェア勤務,東京大学 客員研究員

Research interests

Information retrieval, Machine Learning, Artificial Intelligence, Marketing

Publications

Confrence(Selected); DBLP
  • Noriaki Kawamae: Time Series Analysis Using NOC. WWW (Companion Volume) 2016: 55-56
  • Noriaki Kawamae: N-gram over Context. WWW 2016: 1045-1055
  • Noriaki Kawamae: Real Time Recommendations from Connoisseurs. KDD 2015: 537-546
  • Noriaki Kawamae: Supervised N-gram Topic Model. WSDM 2014: 473-482
  • Noriaki Kawamae: Opinion mining with word order. IEEE BigData 2013
  • Noriaki Kawamae: Theme chronicle model: chronicle consists of timestamp and topical words over each theme. CIKM 2012: 2065-2069
  • Noriaki Kawamae: Joint sentiment aspect model. ACM SAC 2012: 205-210
  • Noriaki Kawamae: Hierarchical Approach to Sentiment Analysis. IEEE ICSC 2012: 138-145
  • Noriaki Kawamae: Identifying sentiments over N-gram. WWW 2012: 541-542
  • Noriaki Kawamae: Trend analysis model: trend consists of temporal words, topics, and timestamps. WSDM 2011: 317-326
  • Noriaki Kawamae: Predicting future reviews: sentiment analysis models for collaborative filtering. WSDM 2011: 605-614
  • Noriaki Kawamae: Latent interest-topic model: finding the causal relationships behind dyadic data. CIKM 2010: 649-658
  • Noriaki Kawamae: Serendipitous recommendations via innovators. SIGIR 2010: 218-225
  • Noriaki Kawamae: Author interest topic model. SIGIR 2010: 887-888
  • Noriaki Kawamae, Ryuichiro Higashinaka: Trend detection model. WWW 2010: 1129-1130
  • Noriaki Kawamae, Katsumi Takahashi: Information retrieval based on collaborative filtering with latent interest semantic map. KDD 2005: 618-623
  • Noriaki Kawamae, Hideaki Suzuki, Osamu Mizuno: Query and content suggestion based on latent interest and topic class. WWW 2004: 350-351
  • Noriaki Kawamae, Takeya Mukaigaito, Miyoshi Hanaki: Semantic Log Analysis Based on a User Query Behavior Model. ICDM 2003: 107-114
書籍

    ペンネーム(川辺徳彰)で執筆分

  • 無機化学が面白いほどわかる本,中経出版
  • 有機化学が面白いほどわかる本,中経出版
  • 理論化学が面白いほどわかる本,中経出版
記事
  • AmazonのレビューをHiveで集計する,日経Linux 2011年6月号 pp.88-91
  • SQLライクに分散処理できるHive,日経Linux 2011年6月号 pp.86-88
  • AmazonのレビューをPigで集計する,日経Linux 2011年5月号 pp.82-85 & みてわかるクラウドマガジンVol.3 pp.82-87,日経BP社
  • 簡単に分散処理を行えるPig,日経Linux 2011年5月号 pp.80-81 & みてわかるクラウドマガジンVol.3 pp.82-87,日経BP社
Web
  • パンフレットダウンロード