GB2594025A - System and method for providing an automated response to a user in an interactive messaging environment - Google Patents

System and method for providing an automated response to a user in an interactive messaging environment Download PDF

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Publication number
GB2594025A
GB2594025A GB2110611.7A GB202110611A GB2594025A GB 2594025 A GB2594025 A GB 2594025A GB 202110611 A GB202110611 A GB 202110611A GB 2594025 A GB2594025 A GB 2594025A
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query
user
response
generate
learning
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GB2110611.7A
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GB202110611D0 (en
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Sabharwal Ankush
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Information Transfer Between Computers (AREA)
  • Machine Translation (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

A conversational Artificial Intelligence (AI) platform configured to provide automated response to users in an interactive environment by applying layers of AI engine that comprises of AI based auto-suggestion, AI markup language, Natural Language Processing (NLP), unsupervised algorithms and machine learning and deep learning methodology to constitute and provide set of defined responses using deep multi-task learning and reinforce the learning capabilities of machine using the feedback mechanism. The AI platform provides a multi-channel, multi-platform, multi-lingual and multi-format virtual assistant to provide static and dynamic responses based on user's queries. The AI platform further provides an easy to train Cognitive AI framework using Chatbot markup language (CBML) and easy to integrate and manage using Chatbot as a Service (CaaS).

Claims (10)

  1. Claims:
    1 . A method for providing an automated response to a user in an interactive messaging environment, characterized in that, the method comprises: receiving a user query through a user interface; automatically suggesting a set of pre-defined queries based on the input query using an Artificial Intelligence (Al) engine; enabling the user to select a query from the set of pre-defined queries through the user interface; performing automated analysis on the selected query, wherein the automated analysis comprises: performing pre-processing functions on the selected query to expand abbreviations, remove misspellings and suggest spellings to generate a first processed query; applying natural language processing (NLP) to understand a meaning and structure of the selected query to generate a second processed query; analyzing the selected query based on historical conversation log data to generate a third processed query; and applying machine learning (ML) and deep learning (DL) on the selected query to generate a fourth processed query; applying deep multitasking learning on the first, second, third and fourth processed queries to generate a response; providing the response to the user; and receiving user feedback on the response.
  2. 2. The method as claimed in claim 1 , wherein the query includes text, audio and video input.
  3. 3. The method as claimed in claim 1 , wherein the response is provided to the user in a language selected by the user.
  4. 4. The method as claimed in claim 1 , wherein the applying the NLP includes applying syntactic and semantic analysis on the selected query.
  5. 5. The method as claimed in claim 1 , wherein the response includes a standard pre defined reply, when the user query is not understandable, and the response includes an appropriate answer when the user query is understandable.
  6. 6. The method as claimed in claim 1 , wherein the ML, DL, deep multitasking learning and user feedback is used to update a database of queries and corresponding responses.
  7. 7. The method as claimed in claim 1 , wherein the response provided to the user includes static text, dynamic text, live chat, rich text, multimedia response.
  8. 8. The method as claimed in claim 1 , wherein the response includes facilitating the user to interact with another user in real-time.
  9. 9. A system for providing an automated response to a user in an interactive messaging environment, characterized in that, the system comprises: an input module for receiving a user query through a user interface; an auto-suggestion module for automatically suggesting a set of pre defined queries based on the input query using an Artificial Intelligence (Al) engine, and enabling the user to select a query from the set of pre-defined queries through the user interface; an automated analysis module for performing automated analysis on the selected query, wherein the automated analysis is configured for: performing pre-processing functions on the selected query to expand abbreviations, remove misspellings and suggest spellings to generate a first processed query; applying natural language processing (NLP) to understand a meaning and structure of the selected query to generate a second processed query; analyzing the selected query based on historical conversation log data to generate a third processed query; and applying machine learning (ML) and deep learning (DL) on the selected query to generate a fourth processed query; a deep multitasking learning module for applying deep multitasking learning on the first, second, third and fourth processed queries to generate a response, and providing the response to the user; and a feedback module for receiving user feedback on the response.
  10. 10. The system as claimed in claim 9, wherein the ML, DL, deep multitasking learning and user feedback is used to update a database of queries and corresponding responses.
GB2110611.7A 2018-12-24 2019-12-23 System and method for providing an automated response to a user in an interactive messaging environment Withdrawn GB2594025A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN201841035920 2018-12-24
PCT/IN2019/050953 WO2020136680A1 (en) 2018-12-24 2019-12-23 System and method for providing an automated response to a user in an interactive messaging environment

Publications (2)

Publication Number Publication Date
GB202110611D0 GB202110611D0 (en) 2021-09-08
GB2594025A true GB2594025A (en) 2021-10-13

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GB2110611.7A Withdrawn GB2594025A (en) 2018-12-24 2019-12-23 System and method for providing an automated response to a user in an interactive messaging environment

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GB (1) GB2594025A (en)
SG (1) SG11202108069YA (en)
WO (1) WO2020136680A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11930097B2 (en) 2020-10-14 2024-03-12 Ttec Holdings, Inc. Integrated orchestration of intelligent systems
CN116483968A (en) * 2023-04-24 2023-07-25 南通智亦诚信息科技有限公司 Intelligent information consultation service system capable of feeding back in real time

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2560101A (en) * 2017-01-31 2018-08-29 Moveworks Inc Method, system and computer program product for facilitating query resolutions at a service desk

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2560101A (en) * 2017-01-31 2018-08-29 Moveworks Inc Method, system and computer program product for facilitating query resolutions at a service desk

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Publication number Publication date
WO2020136680A1 (en) 2020-07-02
SG11202108069YA (en) 2021-11-29
GB202110611D0 (en) 2021-09-08

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