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CCC, V Point Marketing, and Matsuo Institute's Joint Research Paper Accepted at the 2026 Annual Conference of the Japanese Society for Artificial Intelligence

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Key facts

  • CCC, V Point Marketing, and Matsuo Institute's Joint Research Paper Accepted at the 2026 Annual Conference of the Japanese Society for Artificial Intelligence
  • A joint research paper by CCC, V Point Marketing, and Matsuo Institute has been accepted at the '2026 Annual Conference of the Japanese Society for Artificial Intelligence'. The research aims to deepen the understanding of individual consumers by integrating multi-domain behavioral logs using Large Language Models (LLMs). The presentation is scheduled for June 8, 2026.
  • Source: PR TIMES
  • Date: Thu Jun 04 2026 19:00:03 GMT+0900 (Japan Standard Time)

Direct answer

A joint research paper by CCC, V Point Marketing, and Matsuo Institute has been accepted at the '2026 Annual Conference of the Japanese Society for Artificial Intelligence'. The research aims to deepen the understanding of individual consumers by integrating multi-domain behavioral logs using Large Language Models (LLMs). The presentation is scheduled for June 8, 2026.

Citation
CCC, V Point Marketing, and Matsuo Institute's Joint Research Paper Accepted at the 2026 Annual Conference of the Japanese Society for Artificial Intelligence (Thu Jun 04 2026 19:00:03 GMT+0900 (Japan Standard Time)), PR TIMES
Source
PR TIMES
Date
Thu Jun 04 2026 19:00:03 GMT+0900 (Japan Standard Time)

AI Summary (NQ-processed)

A joint research paper by CCC, V Point Marketing, and Matsuo Institute has been accepted at the '2026 Annual Conference of the Japanese Society for Artificial Intelligence'. The research aims to deepen the understanding of individual consumers by integrating multi-domain behavioral logs using Large Language Models (LLMs). The presentation is scheduled for June 8, 2026.

AI Analysis

Frequently Asked Questions

Q: What is the purpose of this research?
A: To advance 'user modeling' by using Large Language Models (LLMs) to integrate behavioral histories across multiple domains (multi-domain data) for a deeper understanding of individual consumer values and behaviors.
Q: What are the specific outcomes of the research?
A: The team researched and demonstrated the effectiveness of a method to extract and integrate consistent persona information from multi-domain behavioral histories using LLMs, academically confirming the possibility of more accurate user modeling.
Q: When and where will this research be presented?
A: It is scheduled to be presented at the '2026 Annual Conference of the Japanese Society for Artificial Intelligence (40th)' on Monday, June 8, 2026.