What is the characteristic of the research method announced by D2C?

It analyzes consumers' latent interests using 'search logs (search behavior)' before visiting the store, rather than visit history or purchase data.

How is consumer interest quantified?

The strength of the association between keywords searched alongside the store name in search queries is quantified using the NPMI (Normalized Pointwise Mutual Information) metric.

When and where will this research presentation take place?

It will be presented at the '40th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2026)' on June 12, 2026.

AI News NQ Analysis

D2C Announces Research Results at One of Japan's Largest Academic Conferences on Natural Language Processing and Artificial Intelligence

NQ Score 80/100

N1 Content Completeness 9

AI Summary (NQ-processed)

D2C Inc. will present a novel research method at JSAI2026 that analyzes consumer interest in restaurant chains over time using telecommunications carrier search logs, quantifying potential pre-visit interest via NPMI without relying on purchase data.

AI Analysis

Frequently Asked Questions

Q: What is the characteristic of the research method announced by D2C?: A: It analyzes consumers' latent interests using 'search logs (search behavior)' before visiting the store, rather than visit history or purchase data.
Q: How is consumer interest quantified?: A: The strength of the association between keywords searched alongside the store name in search queries is quantified using the NPMI (Normalized Pointwise Mutual Information) metric.
Q: When and where will this research presentation take place?: A: It will be presented at the '40th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2026)' on June 12, 2026.