RECOMMENDATION DEVICE AND RECOMMENDATION METHOD

• Main Authors: ARIMA KEI, INOKUCHI KIYOHIRO, IKENOTANI SHINJI
• Format: Patent
• Language: English; Japanese
• Published: 20.05.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

To provide a recommendation device and a recommendation method for recommending commercial products close to a customer's preferences from among a wide range of commercial products.SOLUTION: In a recommendation system for recommending commercial products close to a customer's preferences, an information acquisition part 241 of a recommendation device 2 acquires analysis information that is one or more pieces of information related to at least either preferences or intentions of a customer. Further, a calculation part 242 calculates a preference type score which quantitatively represents a matching degree of a plurality of preference categories respectively used as elements representing tendencies of the preferences, with respect to the customer on the basis of the analysis information acquired by the information acquisition part 241. A selection part 244 selects commercial products to be recommended to the customer, on the basis of the preference type score calculated by the calculation part 242, and the commercial product information containing at least the preference category information indicating the preference categories to which the plurality of commercial products respectively correspond, and then, outputs information related to the commercial products selected.SELECTED DRAWING: Figure 2 【課題】幅広い商品の中から顧客の嗜好に近い商品をレコメンドするレコメンド装置及びレコメンド方法を提供する。【解決手段】顧客の嗜好に近い商品をレコメンドするレコメンドシステムにおいて、レコメンド装置２の情報取得部２４１は、顧客の嗜好と志向との少なくともいずれかに関する１以上の情報である分析用情報を取得し、算出部２４２は、情報取得部２４１が取得した分析用情報に基づいて、嗜好の傾向を表す要素に用いられる複数の嗜好カテゴリそれぞれが顧客とマッチする程度を定量的に表す嗜好タイプスコアを算出する。選択部２４４は、算出部２４２が算出した嗜好タイプスコアと、複数の商品それぞれが対応する嗜好カテゴリを示す嗜好カテゴリ情報を少なくとも含む商品情報とに基づいて顧客に推薦する商品を選択し、選択した商品に関する情報を出力する。【選択図】図２