CUSTOMER BEHAVIOR PREDICTION APPARATUS, CUSTOMER BEHAVIOR PREDICTION METHOD, AND PROGRAM
To provide a customer behavior prediction apparatus, a customer behavior prediction method, and a program, capable of reducing operation load for periodically taking measures based on prediction of customer behavior.SOLUTION: A customer behavior prediction apparatus includes: a customer information...
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creator | YANAGIYA YURI OKUMA YUTA KAMEKO YUKI SAKANO HIROSHI |
description | To provide a customer behavior prediction apparatus, a customer behavior prediction method, and a program, capable of reducing operation load for periodically taking measures based on prediction of customer behavior.SOLUTION: A customer behavior prediction apparatus includes: a customer information acquisition unit which acquires customer information on a customer, the customer information being periodically output from a system of a service that is used by a customer whose behavior is to be predicted; a customer information storage unit which stores the acquired customer information; a data processing unit which processes the customer information stored in the customer information storage unit to a feature information indicating feature quantities of the customer; a data generation unit which generates learning data and prediction data at least on the basis of the feature information; a learning unit which generates a trained model that has machine-learned a relationship between the feature information and the customer behavior on the basis of the generated learning data; and a prediction unit which predicts the customer behavior on the basis of the generated prediction data and the trained model.SELECTED DRAWING: Figure 2
【課題】顧客行動の予測に基づく施策を定期的に行うための運用負荷を低減することが可能な顧客行動予測装置、顧客行動予測方法、及びプログラムを提供する。【解決手段】顧客行動の予測対象となる顧客が利用しているサービスのシステムから定期的に出力される、前記顧客に関する顧客情報を取得する顧客情報取得部と、取得された前記顧客情報を記憶する顧客情報記憶部と、前記顧客情報記憶部に記憶されている前記顧客情報を、前記顧客の特徴量を示す特徴量情報に加工するデータ加工部と、少なくとも前記特徴量情報に基づき、学習用データと予測用データを生成するデータ生成部と、生成された前記学習用データに基づき、前記特徴量情報と前記顧客行動との関係性を機械学習した学習済みモデルを生成する学習部と、生成された前記予測用データと前記学習済みモデルとに基づき、前記顧客行動を予測する予測部と、を備える顧客行動予測装置。【選択図】図2 |
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【課題】顧客行動の予測に基づく施策を定期的に行うための運用負荷を低減することが可能な顧客行動予測装置、顧客行動予測方法、及びプログラムを提供する。【解決手段】顧客行動の予測対象となる顧客が利用しているサービスのシステムから定期的に出力される、前記顧客に関する顧客情報を取得する顧客情報取得部と、取得された前記顧客情報を記憶する顧客情報記憶部と、前記顧客情報記憶部に記憶されている前記顧客情報を、前記顧客の特徴量を示す特徴量情報に加工するデータ加工部と、少なくとも前記特徴量情報に基づき、学習用データと予測用データを生成するデータ生成部と、生成された前記学習用データに基づき、前記特徴量情報と前記顧客行動との関係性を機械学習した学習済みモデルを生成する学習部と、生成された前記予測用データと前記学習済みモデルとに基づき、前記顧客行動を予測する予測部と、を備える顧客行動予測装置。【選択図】図2</description><language>eng ; jpn</language><subject>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</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240307&DB=EPODOC&CC=JP&NR=2024030310A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240307&DB=EPODOC&CC=JP&NR=2024030310A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YANAGIYA YURI</creatorcontrib><creatorcontrib>OKUMA YUTA</creatorcontrib><creatorcontrib>KAMEKO YUKI</creatorcontrib><creatorcontrib>SAKANO HIROSHI</creatorcontrib><title>CUSTOMER BEHAVIOR PREDICTION APPARATUS, CUSTOMER BEHAVIOR PREDICTION METHOD, AND PROGRAM</title><description>To provide a customer behavior prediction apparatus, a customer behavior prediction method, and a program, capable of reducing operation load for periodically taking measures based on prediction of customer behavior.SOLUTION: A customer behavior prediction apparatus includes: a customer information acquisition unit which acquires customer information on a customer, the customer information being periodically output from a system of a service that is used by a customer whose behavior is to be predicted; a customer information storage unit which stores the acquired customer information; a data processing unit which processes the customer information stored in the customer information storage unit to a feature information indicating feature quantities of the customer; a data generation unit which generates learning data and prediction data at least on the basis of the feature information; a learning unit which generates a trained model that has machine-learned a relationship between the feature information and the customer behavior on the basis of the generated learning data; and a prediction unit which predicts the customer behavior on the basis of the generated prediction data and the trained model.SELECTED DRAWING: Figure 2
【課題】顧客行動の予測に基づく施策を定期的に行うための運用負荷を低減することが可能な顧客行動予測装置、顧客行動予測方法、及びプログラムを提供する。【解決手段】顧客行動の予測対象となる顧客が利用しているサービスのシステムから定期的に出力される、前記顧客に関する顧客情報を取得する顧客情報取得部と、取得された前記顧客情報を記憶する顧客情報記憶部と、前記顧客情報記憶部に記憶されている前記顧客情報を、前記顧客の特徴量を示す特徴量情報に加工するデータ加工部と、少なくとも前記特徴量情報に基づき、学習用データと予測用データを生成するデータ生成部と、生成された前記学習用データに基づき、前記特徴量情報と前記顧客行動との関係性を機械学習した学習済みモデルを生成する学習部と、生成された前記予測用データと前記学習済みモデルとに基づき、前記顧客行動を予測する予測部と、を備える顧客行動予測装置。【選択図】図2</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZIhwDg0O8fd1DVJwcvVwDPP0D1IICHJ18XQO8fT3U3AMCHAMcgwJDdZRwKvO1zXEw99FR8HRzwUo7O8e5OjLw8CalphTnMoLpbkZlNxcQ5w9dFML8uNTiwsSk1PzUkvivQKMDIxMDIwNjA0NHI2JUgQAfJ8xzA</recordid><startdate>20240307</startdate><enddate>20240307</enddate><creator>YANAGIYA YURI</creator><creator>OKUMA YUTA</creator><creator>KAMEKO YUKI</creator><creator>SAKANO HIROSHI</creator><scope>EVB</scope></search><sort><creationdate>20240307</creationdate><title>CUSTOMER BEHAVIOR PREDICTION APPARATUS, CUSTOMER BEHAVIOR PREDICTION METHOD, AND PROGRAM</title><author>YANAGIYA YURI ; OKUMA YUTA ; KAMEKO YUKI ; SAKANO HIROSHI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2024030310A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>YANAGIYA YURI</creatorcontrib><creatorcontrib>OKUMA YUTA</creatorcontrib><creatorcontrib>KAMEKO YUKI</creatorcontrib><creatorcontrib>SAKANO HIROSHI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>YANAGIYA YURI</au><au>OKUMA YUTA</au><au>KAMEKO YUKI</au><au>SAKANO HIROSHI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>CUSTOMER BEHAVIOR PREDICTION APPARATUS, CUSTOMER BEHAVIOR PREDICTION METHOD, AND PROGRAM</title><date>2024-03-07</date><risdate>2024</risdate><abstract>To provide a customer behavior prediction apparatus, a customer behavior prediction method, and a program, capable of reducing operation load for periodically taking measures based on prediction of customer behavior.SOLUTION: A customer behavior prediction apparatus includes: a customer information acquisition unit which acquires customer information on a customer, the customer information being periodically output from a system of a service that is used by a customer whose behavior is to be predicted; a customer information storage unit which stores the acquired customer information; a data processing unit which processes the customer information stored in the customer information storage unit to a feature information indicating feature quantities of the customer; a data generation unit which generates learning data and prediction data at least on the basis of the feature information; a learning unit which generates a trained model that has machine-learned a relationship between the feature information and the customer behavior on the basis of the generated learning data; and a prediction unit which predicts the customer behavior on the basis of the generated prediction data and the trained model.SELECTED DRAWING: Figure 2
【課題】顧客行動の予測に基づく施策を定期的に行うための運用負荷を低減することが可能な顧客行動予測装置、顧客行動予測方法、及びプログラムを提供する。【解決手段】顧客行動の予測対象となる顧客が利用しているサービスのシステムから定期的に出力される、前記顧客に関する顧客情報を取得する顧客情報取得部と、取得された前記顧客情報を記憶する顧客情報記憶部と、前記顧客情報記憶部に記憶されている前記顧客情報を、前記顧客の特徴量を示す特徴量情報に加工するデータ加工部と、少なくとも前記特徴量情報に基づき、学習用データと予測用データを生成するデータ生成部と、生成された前記学習用データに基づき、前記特徴量情報と前記顧客行動との関係性を機械学習した学習済みモデルを生成する学習部と、生成された前記予測用データと前記学習済みモデルとに基づき、前記顧客行動を予測する予測部と、を備える顧客行動予測装置。【選択図】図2</abstract><oa>free_for_read</oa></addata></record> |
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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 |
title | CUSTOMER BEHAVIOR PREDICTION APPARATUS, CUSTOMER BEHAVIOR PREDICTION METHOD, AND PROGRAM |
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