DIALOG MECHANISM RESPONSIVE TO QUERY CONTEXT

• US 20180225365A1
• Filed: 02/08/2017
• Published: 08/09/2018
• Est. Priority Date: 02/08/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: ALTAF, FAHEEM, DELUCA, LISA SEACAT, SRINIVAS, RAGHURAM, UGRANI, RAJENDRA G.
• Granted Patent: US 10,740,373 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/358 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/90332 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 40/20 Natural language analysis semantic analysis of natural language G06F40/30

Abstract

Aspects automatically invoke automated dialog chat bots in response to determining that query text content meets a threshold relevance. A computer processor analyzes different words within text content of a user query input to identify via natural language processing query topics defined by combinations of the words. The processor drives a display device to present an automated dialog chat bot to the user that presents a chat bot series of dialog questions in response to determining that a query topic identified from analyzing the text content meets a threshold relevancy; or searches a database for results that satisfy keywords or query topics of the query content in response to failing to identify a query topic for the query text content, or to determining that an identified query topic does not meet the threshold relevancy.

Claims

1. A computer-implemented method for automatically invoking an automated dialog chat bot in response to query text content meeting a threshold relevance, comprising executing on a computer processor the steps of:

in response to an input of a user query text content comprising a plurality of different words, analyzing the text content to identify via natural language processing query topics defined by combinations of words of the text content;

in response to determining that a query topic is identified from analyzing the text content, determining whether the identified query topic meets a threshold relevancy defined for invoking an automated dialog chat bot;

searching a database for results that satisfy the keywords or query topics identified for the query input text content, in response to failing to identify a query topic from analyzing the text content via natural language processing, or in response to determining that the identified query topic does not meet the threshold relevancy; and

in response to determining that the identified query topic meets the threshold relevancy, driving a display device to present an automated dialog chat bot to the user within a graphical user interface structure that presents a chat bot series of dialog questions that are each selected in response to answer inputs from the user via the graphical user interface to a previous question in the chat bot series of dialog questions.

2. The method of claim 1, further comprising:

determining whether the identified query topic meets the threshold relevancy defined for invoking an automated dialog chat bot as a function of user context data from a step that is selected from the group consisting of;

determining whether time data of the input of the user query text content falls within a promotional sales event period for a service provider product, wherein the time data of the input is selected from the group consisting of a time of day and a calendar date;

determining whether a geographic location of the user is located within a geographical region that is associated with a geographic region-dependent value for a service provider product; and

determining whether the geographic location of the user meets a threshold qualification for matching the chat bot topic as a function of comparing the time data of the input of the user query text content to a time period of a disqualifying event.

3. The method of claim 1, wherein one of the chat bot series of questions suggests that the user purchase a product of a service provider as a solution to query topic.

4. The method of claim 1, wherein the step of analyzing the text content to identify query topics defined by combinations of words of the text content further comprises:

making topic identifications from a limited set of chat bot topics that are each associated with products of the service provider.

5. The method of claim 1, wherein the step of determining whether the identified query topic meets the threshold relevancy comprises:

comparing the query topic to a chat bot topic that is associated with the chat bot topic series of questions; and

determining that the query topic meets the threshold relevancy in response to determining that the query topic likely matches the chat bot topic.

6. The method of claim 5, further comprising:

determining that the query topic likely matches each of plurality of different chat bot topics that are associated one each with different series of chat bot questions;

ranking the matched chat bot topics as a function of different relative values of each chat bot topic that is selected from the group consisting of a relative strength of matching likelihood to the query topic, and a service provider product value associated with each chat bot topic; and

determining that the highest ranked query topic meets the threshold relevancy.

7. The method of claim 6, further comprising:

weighting a match value for an other chat bot topic that does not otherwise meet the threshold relevancy to meet the threshold relevancy as a function of relatively high value of a service provider product value associated with the other chat bot topic.

8. The method of claim 1, further comprising:

integrating computer-readable program code into a computer system comprising a processor, a computer readable memory in circuit communication with the processor, and a computer readable storage medium in circuit communication with the processor; and

wherein the processor executes program code instructions stored on the computer-readable storage medium via the computer readable memory and thereby performs the steps of analyzing the text content to identify query topics, determining whether the identified query topic meets the threshold relevancy, searching the database for results that satisfy the keywords or query topics identified for the query input text content, and driving the display device to present an automated dialog chat bot to the user within the graphical user interface structure.

9. The method of claim 8, wherein the computer-readable program code is provided as a service in a cloud environment.

10. A system, comprising:

a processor;

a computer readable memory in circuit communication with the processor; and

a computer readable storage medium in circuit communication with the processor;

wherein the processor executes program instructions stored on the computer-readable storage medium via the computer readable memory and thereby;

in response to an input of a user query text content comprising a plurality of different words, analyzes the text content to identify query topics via natural language processing that are defined by combinations of words of the text content;

in response to determining that a query topic is identified from analyzing the text content, determines whether the identified query topic meets a threshold relevancy defined for invoking an automated dialog chat bot;

searches a database for results that satisfy the keywords or query topics identified for the query input text content, in response to failing to identify a query topic from analyzing the text content via natural language processing, or in response to determining that the identified query topic does not meet the threshold relevancy; and

in response to determining that the identified query topic meets the threshold relevancy, drives a display device to present an automated dialog chat bot to the user within a graphical user interface structure that presents a chat bot series of dialog questions that are each selected in response to answer inputs from the user via the graphical user interface to a previous question in the chat bot series of dialog questions.

11. The system of claim 10, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby further:

determines whether the identified query topic meets the threshold relevancy defined for invoking an automated dialog chat bot as a function of user context data from a process selected from the group consisting of;

determining whether time data of the input of the user query text content falls within a promotional sales event period for a time-dependent value of a service provider product, wherein the time data of the input is selected from the group consisting of a time of day and a calendar date;

determining whether a geographic location of the user is located within a geographical region that is associated with a geographic region-dependent value for a service provider product; and

determining whether the geographic location of the user meets a threshold qualification for matching the chat bot topic as a function of comparing the time data of the input of the user query text content to a time period of a disqualifying event.

12. The system of claim 10, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby further analyzes the text content to identify query topics defined by combinations of words of the text by making topic identifications from a limited set of chat bot topics that are each associated with products of the service provider.

13. The system of claim 10, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby further determines whether the identified query topic meets the threshold relevancy by:

comparing the query topic to a chat bot topic that is associated with the chat bot topic series of questions; and

determining that the query topic meets the threshold relevancy in response to determining that the query topic likely matches the chat bot topic.

14. The system of claim 13, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby further:

determines that the query topic likely matches each of plurality of different chat bot topics that are associated one each with different series of chat bot questions;

ranks the matched chat bot topics as a function of different relative values of each chat bot topic that is selected from the group consisting of a relative strength of matching likelihood to the query topic, and a service provider product value associated with each chat bot topic; and

determines that the highest ranked query topic meets the threshold relevancy.

15. The system of claim 14, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby further:

weights a match value for an other chat bot topic that does not otherwise meet the threshold relevancy to meet the threshold relevancy as a function of relatively high value of a service provider product value associated with the other chat bot topic.

16. A computer program product for automatically invoking an automated dialog chat bot in response to query text content meeting a threshold relevance, the computer program product comprising:

a computer readable storage medium having computer readable program code embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the computer readable program code comprising instructions for execution by a processor that cause the processor to;

in response to an input of a user query text content comprising a plurality of different words, analyze the text content to identify via natural language processing query topics defined by combinations of words of the text content;

in response to determining that a query topic is identified from analyzing the text content, determine whether the identified query topic meets a threshold relevancy defined for invoking an automated dialog chat bot;

search a database for results that satisfy the keywords or query topics identified for the query input text content, in response to failing to identify a query topic from analyzing the text content via natural language processing, or in response to determining that the identified query topic does not meet the threshold relevancy; and

in response to determining that the identified query topic meets the threshold relevancy, drive a display device to present an automated dialog chat bot to the user within a graphical user interface structure that presents a chat bot series of dialog questions that are each selected in response to answer inputs from the user via the graphical user interface to a previous question in the chat bot series of dialog questions.

17. The computer program product of claim 16, wherein the computer readable program code instructions for execution by the processor further cause the processor to:

determine whether the identified query topic meets the threshold relevancy defined for invoking an automated dialog chat bot as a function of user context data from a process selected from the group consisting of;

determining whether time data of the input of the user query text content falls within a promotional sales event period for a time-dependent value of a service provider product, wherein the time data of the input is selected from the group consisting of a time of day and a calendar date;

determining whether a geographic location of the user is located within a geographical region that is associated with a geographic region-dependent value for a service provider product; and

determining whether the geographic location of the user meets a threshold qualification for matching the chat bot topic as a function of comparing the time data of the input of the user query text content to a time period of a disqualifying event.

18. The computer program product of claim 16, wherein the computer readable program code instructions for execution by the processor further cause the processor to analyze the text content to identify query topics defined by combinations of words of the text by making topic identifications from a limited set of chat bot topics that are each associated with products of the service provider.

19. The computer program product of claim 16, wherein the computer readable program code instructions for execution by the processor further cause the processor to determine whether the identified query topic meets the threshold relevancy by:

comparing the query topic to a chat bot topic that is associated with the chat bot topic series of questions; and

determining that the query topic meets the threshold relevancy in response to determining that the query topic likely matches the chat bot topic.

20. The computer program product of claim 19, wherein the computer readable program code instructions for execution by the processor further cause the processor to:

determine that the query topic likely matches each of plurality of different chat bot topics that are associated one each with different series of chat bot questions;

rank the matched chat bot topics as a function of different relative values of each chat bot topic that is selected from the group consisting of a relative strength of matching likelihood to the query topic, and a service provider product value associated with each chat bot topic; and

determine that the highest ranked query topic meets the threshold relevancy.