Semantic Log Analysis Based on a User Query Behavior Model. - Noriaki Kawamae; Takeya Mukaigaito; Hanaki Miyoshi (ICDM, 2003)

Information retrieval based on collaborative filtering with latent interest semantic map. - Noriaki Kawamae; Katsumi Takahashi (KDD, 2005)

Personalized recommendation based on the personal innovator degree. - Noriaki Kawamae; Hitoshi Sakano; Takeshi Yamada (RecSys, 2009)

Latent interest-topic model: finding the causal relationships behind dyadic data. - Noriaki Kawamae (CIKM, 2010)

Serendipitous recommendations via innovators. - Noriaki Kawamae (SIGIR, 2010)

Author interest topic model. - Noriaki Kawamae (SIGIR, 2010)

Trend detection model. - Noriaki Kawamae; Ryuichiro Higashinaka (WWW, 2010)

Building a conversational model from two-tweets. - Ryuichiro Higashinaka; Noriaki Kawamae; Kugatsu Sadamitsu; Yasuhiro Minami; Toyomi Meguro; Kohji Dohsaka; Hirohito Inagaki (ASRU, 2011)

Unsupervised Clustering of Utterances Using Non-Parametric Bayesian Methods. - Ryuichiro Higashinaka; Noriaki Kawamae; Kugatsu Sadamitsu; Yasuhiro Minami; Toyomi Meguro; Kohji Dohsaka; Hirohito Inagaki (INTERSPEECH, 2011)

Trend analysis model: trend consists of temporal words, topics, and timestamps. - Noriaki Kawamae (WSDM, 2011)

Predicting future reviews: sentiment analysis models for collaborative filtering. - Noriaki Kawamae (WSDM, 2011)

Theme chronicle model: chronicle consists of timestamp and topical words over each theme. - Noriaki Kawamae (CIKM, 2012)

Joint sentiment aspect model. - Noriaki Kawamae (SAC, 2012)

Hierarchical Approach to Sentiment Analysis. - Noriaki Kawamae (ICSC, 2012)

Identifying sentiments over N-gram. - Noriaki Kawamae (WWW (Companion Volume), 2012)

Supervised N-gram topic model. - Noriaki Kawamae (WSDM, 2014)

Real Time Recommendations from Connoisseurs. - Noriaki Kawamae (KDD, 2015)

N-gram over Context. - Noriaki Kawamae (WWW, 2016)

Time Series Analysis Using NOC. - Noriaki Kawamae (WWW (Companion Volume), 2016)

Topic Chronicle Forest for Topic Discovery and Tracking. - Noriaki Kawamae (WSDM, 2018)

Topic Structure-Aware Neural Language Model: Unified language model that maintains word and topic ordering by their embedded representations. - Noriaki Kawamae (WWW, 2019)

A Text Generation Model that Maintains the Order of Words, Topics, and Parts of Speech via Their Embedding Representations and Neural Language Models. - Noriaki Kawamae (WI/IAT, 2021)

Friendly Conditional Text Generator. - Noriaki Kawamae (WSDM, 2023)