WO2006129968A1 - Systeme et procede d'analyse d'une conversation utilisant un agent de conversation - Google Patents

Systeme et procede d'analyse d'une conversation utilisant un agent de conversation Download PDF

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Publication number
WO2006129968A1
WO2006129968A1 PCT/KR2006/002096 KR2006002096W WO2006129968A1 WO 2006129968 A1 WO2006129968 A1 WO 2006129968A1 KR 2006002096 W KR2006002096 W KR 2006002096W WO 2006129968 A1 WO2006129968 A1 WO 2006129968A1
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WO
WIPO (PCT)
Prior art keywords
conversational agent
user
conversation
analyzing
server
Prior art date
Application number
PCT/KR2006/002096
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English (en)
Inventor
Kyeongseo Kim
Original Assignee
Daumsoft, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from KR1020050045782A external-priority patent/KR20060113314A/ko
Priority claimed from KR1020050045780A external-priority patent/KR20060113313A/ko
Priority claimed from KR1020050045779A external-priority patent/KR20060113312A/ko
Application filed by Daumsoft, Inc. filed Critical Daumsoft, Inc.
Publication of WO2006129968A1 publication Critical patent/WO2006129968A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising

Definitions

  • the present invention relates to a system and method of analyzing a conversation using a conversational agent, and more particularly, to a system and method of analyzing a conversation using a conversational agent which analyzes the conversation carried out by the conversation agent Background Art
  • a conversational agent is a chatting robot which is a software agent having a conversation with a human user. It is called a chatterbot, chatbot or chatterbox (refer to the encyclopedia Wikrpedia http://en.wikipedia.org/wiki/Chatterbot).
  • FIG. 1 shows one example of a conventional conversational agent, Alice provided on the website www.alicebot.org by A.L.I.C.E Artificial Intelligence Foundation.
  • the conversational agent Alice gives a preset answer to a question "What is a chatterbot?".
  • FIG. 2 shows another example of the conventional conversational agent.
  • the conversational agent Lmgubot provided on the website www.elbot.com by kiwilogic.com presents a subject and leads a conversation.
  • FIG. 3 shows yet another example of the conventional conversational agent.
  • a user chats with the conversational agent (E-mail address : simsimi200@hotmail.com) on an msn messenger. This service is provided on the website www.simsimi.com by Ismaker.
  • Such a conversational agent service performs chatting between the user and the conversational agent, namely, the chatting robot, not between the users.
  • the chatting robot accumulates expected pairs of questions and answers in advance (by pattern matching), and gives answers to questions of the user. For example, when the user asks "Did you have a meal * ?", the conversational agent takes an appropriate natural language processing procedure, finds an answer "Not yet" in a conversation DB for storing the pairs of questions and answers, and gives the answer to the user, thereby having a chat with the user.
  • Fig. 4 shows yet another example of the conventional conversational agent.
  • the conversational agent of Fig. 3 Simsimi recommends a product (for example, network- related product) to a user.
  • this product is suggested by a conversational agent service provider or a product advertiser regardless of a taste of the user.
  • Simsimi fails to arouse a user's interest or improve an advertisement effect.
  • Japanese Laid-Open Patent Application 2003-248681 suggests a method of analyzing a taste of a user from a given text by a natural language processing technique. This method obtains the taste of the user by analyzing the text by the well-known natural language processing technique, and comparing the text with preset analysis patterns. Disclosure of Invention Technical Problem
  • An object of the present invention is to provide a method and system of recommending preference products and contents by storing a conversation between a user and a conversational agent and analyzing the conversation.
  • Another object of the present invention is to provide a user grouping method and system using conversation pattern analysis, especially, a user grouping method and system which can recommend and connect users having common preferences by sto ⁇ ng conversations between the users and a conversational agent and analyzing the conversations.
  • Yet another object of the present invention is to provide a method and system of investigating preferences of a user by using a conversational agent chatting with the user.
  • the present invention provides the customized conversational agent service which analyzes the conversation contents between the user and the conversational agent and suggests products or contents according to the taste of the user in the next conversation.
  • the present invention analyzes the conversation contents between the users and the conversational agent and connects the users having the common interest.
  • FIG. 5 illustrates one example of a system in accordance with the present invention
  • FIG. 6 illustrates one example of conversation contents between a user and a conversational agent
  • FIG. 7 illustrates one example of analyzing and summarizing preferences of the user in accordance with the present invention
  • Fig. 8 illustrates one example of recommending products or contents on the basis of the analyzed preferences of the user in accordance with the present invention
  • Fig. 9 illustrates one example of a process for recommending products or contents to the user by the conversational agent in accordance with the present invention
  • Fig. 10 illustrates another example of the system in accordance with the present invention
  • FIG. 11 illustrates one example of conversation contents between a user and a conversational agent
  • Fig. 12 illustrates one example of analyzing preferences of users and grouping the users in accordance with the present invention
  • Fig. 13 illustrates one example of recommending the users on the basis of the grouping information in accordance with the present invention
  • Fig. 14 illustrates one example of using question/answer type researches in accordance with the present invention
  • Fig. 15 illustrates yet another example of the system in accordance with the present invention
  • Fig. 16 illustrates one example of questions in accordance with the present invention
  • Fig. 17 illustrates one example of posing the questions of Fig. 16 to the user by a conversational agent;
  • Fig. 18 illustrates one example of summarizing answers to the questions.
  • Fig. 19 illustrates one example of a process for posing questions to the user by the conversational agent in accordance with the present invention.
  • FIG. 5 illustrates one example of the system in accordance with the present inventi on.
  • the system includes user computers 1 and 2, an internet 3 used as a network, a conversational agent service server 4, and a DB 5 for storing pairs of questions and answers, and further includes a conversation storing DB 6 for storing conversation contents between a user and a conversational agent, and a conversation analyzing and recommending server 7 for analyzing the conversation stored in the conversation storing DB 6.
  • the user accesses the conversational agent service server 4 through the internet 3 by using the user computer 1 , and chats with the conversational agent provided by the conversational agent service server 4.
  • the conversational agent service server 4 finds an appropriate answer to a question of the user in the DB 5 for storing the pairs of questions and answers, and transmits the answer to the user computer 1.
  • the conversation contents between the user and the conversational agent are stored in the conversation storing DB 6 and analyzed by the conversation analyzing and recommending server 7.
  • the conversational agent suggests the products or contents relating to the analyzed preference or taste to the user in the next conversation. Also, the user can receive information on the products or contents through an e-mail.
  • Fig. 6 illustrates one example of the conversation contents between the user and the conversational agent.
  • the user chatting name : visitor
  • the two sentences which do not include "like are removed by a natural language processing procedure.
  • the fact that the user likes baseball is inferred from the third sentence.
  • the taste or preference of the user can be analyzed by asking preset questions to the user by the conversational agent and summarizing answers of the user.
  • Fig. 7 illustrates one example of analyzing and summarizing preferences of the user in accordance with the present invention.
  • the user chatting name: visitor
  • various preferences of a specific user are collectively managed (for example, preferences for baseball, steak and spaghetti are collectively used).
  • the number of mentioning preferences is counted by continuously analyzing the conversation of the user (for example, the user mentions baseball once, steak once and spaghetti three times).
  • Special preferences are placed under categories and efficiently managed (for example, baseball is placed under the category of sport and steak is placed under the category of food). If necessary, additional information on the user such as an e-mail address is managed together, so that products or contents relating to the preferences of the user can be easily recommended to the user.
  • Fig. 8 illustrates one example of recommending products or contents on the basis of the analyzed preferences of the user in accordance with the present invention.
  • the conversational agent gives a response to the user on the basis of the analyzed preferences (for example, "Mr visitor. We have an XX baseball game today").
  • the conversational agent recommends products or contents to the user through a messenger (for example, "Mr. visitor. We have an XX baseball game today").
  • Fig. 9 illustrates one example of a process for recommending products or contents to the user by the conversational agent in accordance with the present invention.
  • the conversational agent service server 4 receives a conversation input from the user (S901), finds a response to the input in the DB 5 (S902), and transmits user information (for example, chatting name) to the conversation analyzing and recommending server 7 (S903).
  • the conversation analyzing and recommending server 7 searches the conversation storing DB 6 or another DB for the analyzed preference of the user (S904). If the user information or the analyzed preference of Fig. 7 does not exist, the conversation analyzing and recommending server 7 returns information notifying the absence of recommended contents to the conversational agent service server 4 (S905).
  • the conversation analyzing and recommending server 7 searches for contents to be recommended in relation to the preference (for example, baseball) (S906).
  • the contents can be stored in a special DB
  • the conversation analyzing and recommending server 7 returns the contents to the conversational agent service server 4 (S907), and if the recommended contents do not exist, the conversation analyzing and recommending server 7 returns information notifying the absence of contents to the conversational agent service server 4 (S905).
  • the conversational agent service server 4 provides the response found in the DB 5 in S902 as the response of the conversational agent to the input of the user (S908).
  • the conversational agent service server 4 provides only the recommended contents, or provides both the response from the DB 5 and the recommended contents (S908). That is, the conversational agent service server 4 can present various responses of the conversational agent under the predefined rules.
  • the above steps have been carried out by the conversation input of the user in S901.
  • This process can also be performed by a conversation request of the user to the conversational agent, instead of the conversation input of the user.
  • the above step S902 can be omitted
  • Fig. 10 illustrates another example of the system in accordance with the present invention.
  • the system includes user computers 1 and 2, an internet 3 used as a network, a conversational agent service server 4, and a DB 5 for storing pairs of questions and answers, and further includes a conversation storing DB 6 for storing conversation contents between a user and a conversational agent, and a conversation analyzing and grouping server 7 for analyzing the conversation stored in the con versation storing DB 6.
  • the user accesses the conversational agent service server 4 through the internet 3 by using the user computer 1, and chats with the conversational agent provided by the conversational agent service server 4.
  • the conversational agent service server 4 finds an approp ⁇ ate answer to a question of the user in the DB 5 for sto ⁇ ng the pairs of questions and answers, and transmits the answer to the user computer 1.
  • the conversation contents between the user and the conversational agent are stored in the conversation storing DB 6 and analyzed by the conversation analyzing and grouping server 7.
  • the users are grouped according to the analyzed preferences or tastes
  • the grouping information is transmitted to the users having the common preference or taste through an e-mail, a message or the conversational agent, thereby connecting the users.
  • Fig 11 illustrates one example of the conversation contents between the user and the conversational agent.
  • the user chatting name: visitor
  • the two sentences which do not include "like' are removed by a natural language processing procedure.
  • the fact that the user likes baseball is inferred from the third sentence.
  • the taste or preference of the user can be analyzed by asking preset questions to the user by the conversational agent and summarizing answers of the user.
  • Fig 12 illustrates one example of analyzing preferences of the users and grouping the users in accordance with the present invention.
  • the users are grouped according to the analyzed preferences or tastes.
  • the user information such as an e-mail address is displayed with the users, so that the users of the same group can be recommended to each other.
  • Fig. 13 illustrates one example of recommending the users on the basis of the grouping information in accordance with the present invention.
  • the conversational agent When the user (chatting name: visitor) chats with the conversational agent again, the conversational agent notifies the other users of the same group, so that the users of the same group can be connected with each other.
  • Fig. 14 illustrates one example of using question/answer type researches in accordance with the present invention. Questions are made by a marketing research request of a company. A conversational agent poses the questions to users, and stores the answers of the users. A marketing research result report is prepared by analyzing the stored answers, and transferred to the company.
  • Fig. 15 illustrates yet another example of the system in accordance with the present invention.
  • the system includes user computers 1 and 2, an internet 3 used as a network, a conversational agent service server 4, and a DB 5 for storing pairs of questions and answers, and further includes a question/answer storing DB 6 for storing questions and answers to the questions, and a question/answer analyzing server 7 for analyzing the answers to the questions.
  • the user accesses the conversational agent service server 4 through the internet 3 by using the user computer 1, and chats with the conversational agent provided by the conversational agent service server 4.
  • the conversational agent service server 4 finds an appropriate answer to a question of the user in the DB 5 for storing the pairs of questions and answers, and transmits the answer to the user computer 1.
  • the conversational agent can chat with the user by asking questions first.
  • the conversational agent sequentially asks the questions stored in the question/answer storing DB 6 to the user and receives the answers to the questions, thereby doing question/ answer type researches.
  • the question/answer type research results are stored in the question/answer storing DB 6 and analyzed and summarized by the question/answer analyzing server 7.
  • Fig. 16 illustrates one example of questions in accordance with the present invention. Three questions are suggested.
  • Fig. 17 illustrates one example of posing the questions of Fig. 16 to the user
  • Fig. 18 illustrates one example of summarizing the answers to the questions.
  • the question/answer analyzing server 7 takes an appropriate natural language processing procedure on the answers of each user, summarizes the results in user units, and adjusts the whole results
  • the process for summarizing the question/answer type research results by the question/answer analyzing server 7 will now be explained.
  • the question/answer analyzing server 7 designates the pattern as 1 O'.
  • an answer to Question 2 includes an Arabic numeral
  • the question/answer analyzing server 7 deduces a result from the numeral. If a numeral is written m a character form, the question/answer analyzing server 7 transforms the character into an Arabic numeral and deduces a result from the numeral. Also in the case of Question 3, a pattern identical to the pattern of Question 1 is designated as a positive pattern, and a pattern such as "not good' is designated as a negative pattern, thereby deducing a result.
  • Fig. 19 illustrates one example of a process for posmg questions to the user by the conversational agent in accordance with the present invention.
  • the conversational agent service server 4 checks whether question/answer type researches are necessary (S902).
  • the conversational agent service server 4 checks the existence of questions, and also checks whether the question/answer type researches have been done on the user. If the question/answer type researches are not necessary, the conversational agent service server 4 waits for a question of the user (S903).
  • the conversational agent service server 4 searches the DB 5 for an answer (S905) and provides the answer by the conversational agent (S906).
  • the conversational agent service server 4 makes a request for the questions to the question/answer storing DB 6 (S907), poses the questions to the user (S908), and receives answers from the user (S909).
  • the conversational agent service server 4 repeats the above procedure till the last question (S910), stores the question/answer type research results (S911), and moves to the step S903 for waiting for the question of the user.

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  • Engineering & Computer Science (AREA)
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  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

La présente invention a trait à un système d'analyse d'une conversation utilisant un agent de conversation comportant: un serveur d'agent de conversation pour répondre à une question provenant d'un terminal d'utilisateur; une première base de données engagée avec le serveur d'agent de conversation, pour le stockage de paires de questions et de réponses; une deuxième base de données pour le stockage d'une conversation entre un utilisateur et un agent de conversation réalisée entre le terminal d'utilisateur et le serveur d'agent de conversation; et un serveur d'analyse pour l'analyse de la conversation stockée dans la deuxième base de données; et à un procédé d'analyse de la conversation utilisant l'agent de conversation.
PCT/KR2006/002096 2005-05-30 2006-05-30 Systeme et procede d'analyse d'une conversation utilisant un agent de conversation WO2006129968A1 (fr)

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
KR1020050045782A KR20060113314A (ko) 2005-05-30 2005-05-30 대화 분석을 통해 사용자의 선호도를 조사하는 방법 및시스템
KR10-2005-0045782 2005-05-30
KR10-2005-0045779 2005-05-30
KR10-2005-0045780 2005-05-30
KR1020050045780A KR20060113313A (ko) 2005-05-30 2005-05-30 대화 패턴 분석을 통한 사용자 그룹핑 방법 및 시스템
KR1020050045779A KR20060113312A (ko) 2005-05-30 2005-05-30 대화의 패턴 분석을 통한 선호 상품 및 콘텐츠 추천 방법및 시스템

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WO2006129968A1 true WO2006129968A1 (fr) 2006-12-07

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014093339A1 (fr) * 2012-12-11 2014-06-19 Nuance Communications, Inc. Système et procédés de recommandation d'agent virtuel pour de multiples personnes
US9148394B2 (en) 2012-12-11 2015-09-29 Nuance Communications, Inc. Systems and methods for user interface presentation of virtual agent
US9262175B2 (en) 2012-12-11 2016-02-16 Nuance Communications, Inc. Systems and methods for storing record of virtual agent interaction
US9276802B2 (en) 2012-12-11 2016-03-01 Nuance Communications, Inc. Systems and methods for sharing information between virtual agents
US9560089B2 (en) 2012-12-11 2017-01-31 Nuance Communications, Inc. Systems and methods for providing input to virtual agent
JP2017062741A (ja) * 2015-09-25 2017-03-30 株式会社ユニバーサルエンターテインメント 情報提供システム、情報提供方法、及びプログラム
US9659298B2 (en) 2012-12-11 2017-05-23 Nuance Communications, Inc. Systems and methods for informing virtual agent recommendation
US9679300B2 (en) 2012-12-11 2017-06-13 Nuance Communications, Inc. Systems and methods for virtual agent recommendation for multiple persons
WO2018214163A1 (fr) * 2017-05-26 2018-11-29 Microsoft Technology Licensing, Llc Fourniture de recommandation d'actualités dans un dialogue en ligne automatisé
US10534623B2 (en) 2013-12-16 2020-01-14 Nuance Communications, Inc. Systems and methods for providing a virtual assistant
US10885129B2 (en) 2014-12-10 2021-01-05 Google Llc Using frames for action dialogs
US10999335B2 (en) 2012-08-10 2021-05-04 Nuance Communications, Inc. Virtual agent communication for electronic device
US11093711B2 (en) 2016-09-28 2021-08-17 Microsoft Technology Licensing, Llc Entity-specific conversational artificial intelligence

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR19990078566A (ko) * 1999-05-18 1999-11-05 이학준 컴퓨터시스템과연동되는캐릭터저장장치및그제어방법
KR20020084003A (ko) * 2002-10-10 2002-11-04 김지훈 인스턴트 메신져 자동응답 로봇
WO2004012151A1 (fr) * 2002-07-31 2004-02-05 Inchain Pty Limited Messagerie animee
KR20050007058A (ko) * 2003-07-11 2005-01-17 임정빈 메신저 로봇을 이용한 온라인 마케팅 서비스 제공 방법

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR19990078566A (ko) * 1999-05-18 1999-11-05 이학준 컴퓨터시스템과연동되는캐릭터저장장치및그제어방법
WO2004012151A1 (fr) * 2002-07-31 2004-02-05 Inchain Pty Limited Messagerie animee
KR20020084003A (ko) * 2002-10-10 2002-11-04 김지훈 인스턴트 메신져 자동응답 로봇
KR20050007058A (ko) * 2003-07-11 2005-01-17 임정빈 메신저 로봇을 이용한 온라인 마케팅 서비스 제공 방법

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10999335B2 (en) 2012-08-10 2021-05-04 Nuance Communications, Inc. Virtual agent communication for electronic device
US11388208B2 (en) 2012-08-10 2022-07-12 Nuance Communications, Inc. Virtual agent communication for electronic device
US9659298B2 (en) 2012-12-11 2017-05-23 Nuance Communications, Inc. Systems and methods for informing virtual agent recommendation
US9679300B2 (en) 2012-12-11 2017-06-13 Nuance Communications, Inc. Systems and methods for virtual agent recommendation for multiple persons
US9276802B2 (en) 2012-12-11 2016-03-01 Nuance Communications, Inc. Systems and methods for sharing information between virtual agents
EP2912567A4 (fr) * 2012-12-11 2016-05-18 Nuance Communications Inc Système et procédés de recommandation d'agent virtuel pour de multiples personnes
US9560089B2 (en) 2012-12-11 2017-01-31 Nuance Communications, Inc. Systems and methods for providing input to virtual agent
CN104813311A (zh) * 2012-12-11 2015-07-29 纽昂斯通讯公司 用于多人的虚拟代理推荐的系统和方法
WO2014093339A1 (fr) * 2012-12-11 2014-06-19 Nuance Communications, Inc. Système et procédés de recommandation d'agent virtuel pour de multiples personnes
US9262175B2 (en) 2012-12-11 2016-02-16 Nuance Communications, Inc. Systems and methods for storing record of virtual agent interaction
US9148394B2 (en) 2012-12-11 2015-09-29 Nuance Communications, Inc. Systems and methods for user interface presentation of virtual agent
US10534623B2 (en) 2013-12-16 2020-01-14 Nuance Communications, Inc. Systems and methods for providing a virtual assistant
US10885129B2 (en) 2014-12-10 2021-01-05 Google Llc Using frames for action dialogs
US11714870B2 (en) 2014-12-10 2023-08-01 Google Llc Using frames for action dialogs
JP2017062741A (ja) * 2015-09-25 2017-03-30 株式会社ユニバーサルエンターテインメント 情報提供システム、情報提供方法、及びプログラム
US11093711B2 (en) 2016-09-28 2021-08-17 Microsoft Technology Licensing, Llc Entity-specific conversational artificial intelligence
CN109690602A (zh) * 2017-05-26 2019-04-26 微软技术许可有限责任公司 在自动聊天中提供产品推荐
WO2018214163A1 (fr) * 2017-05-26 2018-11-29 Microsoft Technology Licensing, Llc Fourniture de recommandation d'actualités dans un dialogue en ligne automatisé

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