Academic Conference Research Presentation Conference

Program of the 4th National Research Presentation Conference of the Japan E-Commerce Society

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Program of the 4th National Research Presentation Conference of the Japan E-Commerce Society

Program of the 4th National Research Presentation Conference of the Japan E-Commerce Society

  • Nov 4, 2022
  • 2 min read

Updated: May 30, 2025


学会の発表プログラムとセッション内容が記載された表

Encouragement Award Winners (in no particular order)2023/04/07: AddendumOn Tuesday, March 28, 2023, an award ceremony for the Encouragement Award was held at the Metaverse venue for students who presented their research at the online research presentations and Metaverse Poster Sessions at the 4th (2022) Japan E-Commerce Association National Research Presentation Conference. A total of 15 students were awarded this year. The winners were presented with a certificate by Shoji Nishimura, Chairman of the Japan E-Commerce Association and Professor at the Faculty of Human Sciences, Waseda University. https://www.jasec.or.jp/single-post/jasec_awards2022

  • Tokyo Metropolitan Chofu Minami High School: Yuina Sakuma, "Regularities in the locations where orb-weaving spiders weave their webs" (for application to research into avatar behavior data analysis in the metaverse)

  • Tokai University: Yuzuki Takagi "Comparison of parallel sales patterns in brick-and-mortar stores and EC stores"

  • Tokai University: Takumi Nakagame "Efficiency Evaluation Model for Delivery Personnel"

  • Waseda University: Ayako Yamagiwa "Image ranking learning method using DNN" - Ayako Yamagiwa (Waseda University), Masayuki Goto (Waseda University)

  • Waseda University: Kodai Ishikura "A study on a relationship analysis model between products using Shapley values based on supermarket POS data" Kodai Ishikura (Waseda University), Yuta Sakai (Waseda University), Tomohiro Yoshikai (Japan Weather Association), Masayuki Goto (Waseda University)

  • Waseda University: Yuki Tsuboi "A study on machine learning models to estimate the effectiveness of multiple EC marketing measures" Yuki Tsuboi (Waseda University), Yuta Sakai (Waseda University), Ryotaro Shimizu (Waseda University), Masayuki Goto (Waseda University)

  • Waseda University: Kotaro Yamashita "Product review analysis model based on feature extraction from BERT" Kotaro Yamashita (Waseda University), Ayako Yamagiwa (Waseda University), Kyosuke Hasumoto (Waseda University), Masayuki Goto (Waseda University)

  • Waseda University: Taiga Yoshikawa "Proposal of a business policy optimization method considering input-dependent error variance" Taiga Yoshikawa (Waseda University), Yuta Sakai (Waseda University), Tienxiang Yang (Waseda University), Masayuki Goto (Waseda University)

  • Waseda University: Mizuki Takeuchi "Research on user attribute prediction models based on semi-supervised learning" Mizuki Takeuchi (Waseda University), Taichi Imabuku (Waseda University), Yuta Sakai (Waseda University), Masayuki Goto (Waseda University)

  • Waseda University: Yuka Nakamura "A study on online learning based on Bayesian optimization to suppress deterioration of objective function values" Yuka Nakamura (Waseda University), Taiga Yoshikawa (Waseda University), Ayako Yamagiwa (Waseda University), Masayuki Goto (Waseda University)

  • Waseda University: Koki Yamada "A study on the analysis of changes in user issues to improve the service of a child-rearing Q&A app" Koki Yamada (Waseda University), Ayako Yamagiwa (Waseda University), Yosuke Takao (Waseda University), Masayuki Goto (Waseda University)

  • Waseda University: Akiko Yoneda "A Study on Improving the Surprise of Recommendation Systems Using Collaborative Metric Learning" Akiko Yoneda (Waseda University), Ryota Matsunae (Waseda University), Haruka Yamashita (Sophia University), Masayuki Goto (Waseda University)

  • Waseda University: Ryota Matsunae "Contextual Bandit Algorithm Using Topic Distribution" Ryota Matsunae (Waseda University), Ayako Yamagiwa (Waseda University), Masayuki Goto (Waseda University)

  • Waseda University: Tomotaka Amano "Proposal of a method for acquiring recommended items considering recommendation regions in embedding space" - Tomotaka Amano (Waseda University), Ryotaro Shimizu (Waseda University), Masayuki Goto (Waseda University)

  • Waseda University: Kirin Tsuchiya "Item Feature Analysis Considering User Interest Continuity Using HSMM Clustering" Kirin Tsuchiya (Waseda University), Yuki Tsuboi (Waseda University), Ryotaro Shimizu (Waseda University), Masayuki Goto (Waseda University)

#Shoji Nishimura

この記事を書いた人

Masachika Eto

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