Our paper “Gravity of Location-based Service: Analyzing the Effects for Mobility Pattern and Location Prediction” has been accepted at the International AAAI Conference on Web and Social Media (ICWSM 2020).

We presented following two researches at KDD 2019

Applied Data Science Track Paper (Oral)
Real-time On-Device Troubleshooting Recommendation for Smartphones,
Authors: Keiichi Ochiai, Kohei Senkawa, Naoki Yamamoto, Yuya Tanaka and Yusuke Fukazawa

KDD Cup Regular Machine Learning Competition Track Task 2, 1st Prize
Proposal Title: Simulating the Effects of Eco-Friendly Transportation Selections for Air Pollution Reduction
Authors: Keiichi Ochiai, Tsukasa Demizu, Shin Ishiguro, Shohei Maruyama, Akihiro Kawana

Our paper regarding local mobile app classification using deep neural net has been accepted to PerCom 2019 Industry Track. We will present our work in March at PerCom 2019@Kyoto, Japan.

Twitterの時空間検索に関する研究が情報処理学会論文誌に採録されました。https://www.keiichiochiai.com/publications/

Our research “Analyzing the Relationship between Cognitive Performance and Time to Find Intended Mobile App” has been presented at UbiComp mental health workshop.

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