Report on the 5th National Research Presentation Conference of the Japan E-Commerce Society

■About the National Research Presentation Conference The JASEC Japan E-Commerce Society holds a National Research Presentation Conference once a year, with three sessions: Academic Session, Business Session, and Student Session.

■As a starting point for an industry-academia collaboration project

Presentations in the "Academic Session" and "Business Session" are not only made available at the conference but also via search engines, leading to industry-academia collaboration projects between companies and universities.

■ As an academic research achievement

At this conference, the "Student Sessions" are not just practice presentations, but can be recorded as academic research results and research achievements. *The conference date, organization name, name, co-authors (if any), presentation subject, organization, and abstract (proceedings) will be made public.

■Report on the 5th National Research Presentation Conference (Added on 15 November 2023) We would like to report that the 5th National Research Presentation Conference for 2023 was successfully held as follows. Thank you very much to everyone who participated. Main theme: Metaverse EC 2023

Date: November 6th (Mon) - November 13th (Mon), 2023 Venue: Online

Prepared in advance rather than announced in real time

Presentation video released to participants of the 5th conference Organizer: Japan E-Commerce Association

Participation application: Details ■ Program details (PDF)・5th JASEC Japan E-Commerce Society National Research Presentation Conference 2023 Program List (PDF)

第5回ＪＡＳＥＣ日本イーコマース学会_全国研究発表大会_2023プログラム.pdf

Download PDF • 256KB

■ List of Abstracts for Each Program

・List of proceedings for the 5th JASEC Japan E-Commerce Society National Presentation Conference

■ About the Encouragement Award Every year, the Japan E-Commerce Association presents an Encouragement Award to students who present their research at the online research presentation held at the Japan E-Commerce Association National Research Presentation Conference. Recipients are presented with a certificate of commendation by Professor Nishimura Shoji, Faculty of Human Sciences, Waseda University, and Chairman of the Japan E-Commerce Association. Once the judging process is complete, we will post a report on this page. Last year, a total of 15 students were awarded the prize. The award ceremony held at the Metaverse venue last year

Details: 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 the deterioration of the objective function value" 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)

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