双方向リコメンデーションシステムによる小売流通マーケテイングの改善手法

摘要

本論文では，早期にかつ簡便に顧客の嗜好を理解するこrnとを可能にする目利き顧客発見アルゴリズムの提案を行rnい，実証データでの検証により，その効果を確認した。%This paper describes a novel architecture to promote retail businesses using information recommendation systems. The main features of the architecture are 1) Dual-directed Recommendation system, 2) Portal site for three kinds of users: Producers, Retailers, and Consumers, which are considered to be Prosumers, and 3) Agent-based implementation. We have developed a web-based system DAIKOC (Dynamic Advisor for Information and Knowledge Oriented Communities) with the above architecture. In this paper, we focus on the recommendation functions to extract the items that will achieve the large sales in the future from the ID (IDentification)-POS (Point-Of-Sales) data.