EXPERT ANSWER PREDICTION SYSTEM
To perform the pseudo-output of a level requested by a user from an expert to the user who wants to obtain the answer to a question from the expert in a specific field.SOLUTION: A machine learning device 10 of an expert answer prediction system 1 includes: a learning model storage part 11 which stor...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Patent |
| Sprache: | eng ; jpn |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | FUJIMORI SHOGO |
| description | To perform the pseudo-output of a level requested by a user from an expert to the user who wants to obtain the answer to a question from the expert in a specific field.SOLUTION: A machine learning device 10 of an expert answer prediction system 1 includes: a learning model storage part 11 which stores, as a digital clone Ci of each individual expert Ei, a learning model constructed so as to be able to predict the answer given by each individual expert Ei to the question by learning the life log of each of individual experts E1 to EN; a question input part 12 for inputting the question data to any personal expert Ex into a digital clone Cx corresponding to the personal expert Ex; an answer output part 13 which outputs the answer predicted by the digital clone Cx as the answer of the individual expert Ex according to the inputted question data; and a learning model evaluation part 15 which evaluates the digital clones C1 to CN as a plurality of learning models constructed by the machine learning device 10.SELECTED DRAWING: Figure 1
【課題】特定分野の専門家から質問に対する回答を得ることを希望するユーザに対して、専門家からユーザが求める水準の回答を疑似的に出力する。【解決手段】専門家回答予測システム１の機械学習装置１０は、個人専門家Ｅ1～ＥNのそれぞれのライフログを学習することにより、各個人専門家Ｅiが質問に対して発する回答を予測し得るように構築された学習モデルを、各個人専門家ＥiのデジタルクローンＣiとして記憶する学習モデル記憶部１１と、いずれかの個人専門家Ｅxに対する質問データを個人専門家Ｅxに対応するデジタルクローンＣxに入力する質問入力部１２と、入力された質問データに応じて、デジタルクローンＣxが個人専門家Ｅxの回答として予測した回答を出力する回答出力部１３と、機械学習装置１０で構築された複数の学習モデルとしてのデジタルクローンＣ1～ＣNを評価する学習モデル評価部１５とを備える。【選択図】図１ |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_JP2023114460A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>JP2023114460A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_JP2023114460A3</originalsourceid><addsrcrecordid>eNrjZJB3jQhwDQpRcPQLDncNUggIcnXxdA7x9PdTCI4MDnH15WFgTUvMKU7lhdLcDEpuriHOHrqpBfnxqcUFicmpeakl8V4BRgZGxoaGJiZmBo7GRCkCADFUIkY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>EXPERT ANSWER PREDICTION SYSTEM</title><source>esp@cenet</source><creator>FUJIMORI SHOGO</creator><creatorcontrib>FUJIMORI SHOGO</creatorcontrib><description>To perform the pseudo-output of a level requested by a user from an expert to the user who wants to obtain the answer to a question from the expert in a specific field.SOLUTION: A machine learning device 10 of an expert answer prediction system 1 includes: a learning model storage part 11 which stores, as a digital clone Ci of each individual expert Ei, a learning model constructed so as to be able to predict the answer given by each individual expert Ei to the question by learning the life log of each of individual experts E1 to EN; a question input part 12 for inputting the question data to any personal expert Ex into a digital clone Cx corresponding to the personal expert Ex; an answer output part 13 which outputs the answer predicted by the digital clone Cx as the answer of the individual expert Ex according to the inputted question data; and a learning model evaluation part 15 which evaluates the digital clones C1 to CN as a plurality of learning models constructed by the machine learning device 10.SELECTED DRAWING: Figure 1
【課題】特定分野の専門家から質問に対する回答を得ることを希望するユーザに対して、専門家からユーザが求める水準の回答を疑似的に出力する。【解決手段】専門家回答予測システム１の機械学習装置１０は、個人専門家Ｅ1～ＥNのそれぞれのライフログを学習することにより、各個人専門家Ｅiが質問に対して発する回答を予測し得るように構築された学習モデルを、各個人専門家ＥiのデジタルクローンＣiとして記憶する学習モデル記憶部１１と、いずれかの個人専門家Ｅxに対する質問データを個人専門家Ｅxに対応するデジタルクローンＣxに入力する質問入力部１２と、入力された質問データに応じて、デジタルクローンＣxが個人専門家Ｅxの回答として予測した回答を出力する回答出力部１３と、機械学習装置１０で構築された複数の学習モデルとしてのデジタルクローンＣ1～ＣNを評価する学習モデル評価部１５とを備える。【選択図】図１</description><language>eng ; jpn</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2023</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=20230817&DB=EPODOC&CC=JP&NR=2023114460A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230817&DB=EPODOC&CC=JP&NR=2023114460A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>FUJIMORI SHOGO</creatorcontrib><title>EXPERT ANSWER PREDICTION SYSTEM</title><description>To perform the pseudo-output of a level requested by a user from an expert to the user who wants to obtain the answer to a question from the expert in a specific field.SOLUTION: A machine learning device 10 of an expert answer prediction system 1 includes: a learning model storage part 11 which stores, as a digital clone Ci of each individual expert Ei, a learning model constructed so as to be able to predict the answer given by each individual expert Ei to the question by learning the life log of each of individual experts E1 to EN; a question input part 12 for inputting the question data to any personal expert Ex into a digital clone Cx corresponding to the personal expert Ex; an answer output part 13 which outputs the answer predicted by the digital clone Cx as the answer of the individual expert Ex according to the inputted question data; and a learning model evaluation part 15 which evaluates the digital clones C1 to CN as a plurality of learning models constructed by the machine learning device 10.SELECTED DRAWING: Figure 1
【課題】特定分野の専門家から質問に対する回答を得ることを希望するユーザに対して、専門家からユーザが求める水準の回答を疑似的に出力する。【解決手段】専門家回答予測システム１の機械学習装置１０は、個人専門家Ｅ1～ＥNのそれぞれのライフログを学習することにより、各個人専門家Ｅiが質問に対して発する回答を予測し得るように構築された学習モデルを、各個人専門家ＥiのデジタルクローンＣiとして記憶する学習モデル記憶部１１と、いずれかの個人専門家Ｅxに対する質問データを個人専門家Ｅxに対応するデジタルクローンＣxに入力する質問入力部１２と、入力された質問データに応じて、デジタルクローンＣxが個人専門家Ｅxの回答として予測した回答を出力する回答出力部１３と、機械学習装置１０で構築された複数の学習モデルとしてのデジタルクローンＣ1～ＣNを評価する学習モデル評価部１５とを備える。【選択図】図１</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</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>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZJB3jQhwDQpRcPQLDncNUggIcnXxdA7x9PdTCI4MDnH15WFgTUvMKU7lhdLcDEpuriHOHrqpBfnxqcUFicmpeakl8V4BRgZGxoaGJiZmBo7GRCkCADFUIkY</recordid><startdate>20230817</startdate><enddate>20230817</enddate><creator>FUJIMORI SHOGO</creator><scope>EVB</scope></search><sort><creationdate>20230817</creationdate><title>EXPERT ANSWER PREDICTION SYSTEM</title><author>FUJIMORI SHOGO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2023114460A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</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>FUJIMORI SHOGO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>FUJIMORI SHOGO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>EXPERT ANSWER PREDICTION SYSTEM</title><date>2023-08-17</date><risdate>2023</risdate><abstract>To perform the pseudo-output of a level requested by a user from an expert to the user who wants to obtain the answer to a question from the expert in a specific field.SOLUTION: A machine learning device 10 of an expert answer prediction system 1 includes: a learning model storage part 11 which stores, as a digital clone Ci of each individual expert Ei, a learning model constructed so as to be able to predict the answer given by each individual expert Ei to the question by learning the life log of each of individual experts E1 to EN; a question input part 12 for inputting the question data to any personal expert Ex into a digital clone Cx corresponding to the personal expert Ex; an answer output part 13 which outputs the answer predicted by the digital clone Cx as the answer of the individual expert Ex according to the inputted question data; and a learning model evaluation part 15 which evaluates the digital clones C1 to CN as a plurality of learning models constructed by the machine learning device 10.SELECTED DRAWING: Figure 1
【課題】特定分野の専門家から質問に対する回答を得ることを希望するユーザに対して、専門家からユーザが求める水準の回答を疑似的に出力する。【解決手段】専門家回答予測システム１の機械学習装置１０は、個人専門家Ｅ1～ＥNのそれぞれのライフログを学習することにより、各個人専門家Ｅiが質問に対して発する回答を予測し得るように構築された学習モデルを、各個人専門家ＥiのデジタルクローンＣiとして記憶する学習モデル記憶部１１と、いずれかの個人専門家Ｅxに対する質問データを個人専門家Ｅxに対応するデジタルクローンＣxに入力する質問入力部１２と、入力された質問データに応じて、デジタルクローンＣxが個人専門家Ｅxの回答として予測した回答を出力する回答出力部１３と、機械学習装置１０で構築された複数の学習モデルとしてのデジタルクローンＣ1～ＣNを評価する学習モデル評価部１５とを備える。【選択図】図１</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng ; jpn |
| recordid | cdi_epo_espacenet_JP2023114460A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | EXPERT ANSWER PREDICTION SYSTEM |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T23%3A06%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=FUJIMORI%20SHOGO&rft.date=2023-08-17&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EJP2023114460A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |