System, method and computer product for classifying user expertise
A user expertise classifying method, system, and computer program product, include analyzing an input by a user based on at least one of vocabulary, orthography, and grammar of the user input, processing user background data obtained from a database, and calculating an expertise score of the user based on the analyzed user input and the processed background data.
1. A computer-implemented user expertise classifying method, the method comprising:
analyzing an input by a user based on at least one of vocabulary, orthography, and grammar of the user input;
processing user background data relating to a specific topical domain obtained from a database;
calculating an expertise score of the user for the specific topical domain based on the analyzed user input and the processed background data; and
adjusting a chat bot for the specific topical domain to interact with the user based on the expertise score,
wherein the calculating repeats the calculating for a second expertise score for a second specific topical domain when the chat bot is for the second specific topical domain, and
wherein the chat bot produces a combination of a display response and audio response based on the expertise score,
further comprising increasing the expertise score of the user in a subsequent user input if an amount of time between the user input and the subsequent user input is less than a predetermined threshold time,
wherein the chat bot comprises a conversational artificial intelligence agent.
2. The computer-implemented method of claim 1 , wherein the expertise score indicates a knowledge level of the user in the specific topical domain of the input.
3. The computer-implemented method of claim 1 , wherein the expertise score comprises a plurality of predetermined levels of expertise, and
wherein the calculating determines a level of the predetermined levels of expertise in which the user can understand an answer to the input according to the expertise score of the user being higher than a base amount for the level of the predetermined levels.
4. The computer-implemented method of claim 1 , wherein the input by the user comprises a query to a question-and-answer system.
5. The computer-implemented method of claim 1 , wherein the background data is selected from a group consisting of:
social media data;
a biography of the user;
wearable data; and
educational data.
6. The computer-implemented method of claim 1 , further comprising refining the expertise score based on historical data about the user, the historical data being selected fiom a group consisting of:
a shopping history of the user;
a search history of the user;
a list of presentations by the user; and
a list of publications by the user.
7. The computer-implemented method of claim 1 , further comprising assigning a weight to each item of the background data based on a recency of the item of the background data.
8. The computer-implemented method of claim 1 , further comprising adjusting the expertise score according to a feedback by the user indicating an understanding of a response by the chat bot based on the expertise score.
9. The computer-implemented method of claim 1 , embodied in a cloud-computing environment.
10. A computer program product for user expertise classifying, the computer program product comprising a computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform:
analyzing an input by a user based on at least one of vocabulary, orthography, and grammar of the user input;
processing user background data relating to a specific topical domain obtained from a database;
calculating an expertise score of the user for the specific topical domain based on the analyzed user input and the processed background data; and
adjusting a chat hot for the specific topical domain to interact with the user based on the expertise score,
wherein the calculating repeats the calculating for a second expertise score for a second specific topical domain when the chat hot is for the second specific topical domain, and
wherein the chat bot produces a combination of a display response and audio response based on the expertise score,
further comprising increasing the expertise score of the user in a subsequent user input if an amount of time between the user input and the subsequent user input is less than a predetermined threshold time,
wherein the chat bot comprises a conversational intelligence agent.
11. The computer program product of claim 10 , wherein the expertise score indicates a knowledge level of the user in the specific topical domain of the input.
12. The computer program product of claim 10 , wherein the expertise score comprises a plurality of predetermined levels of expertise, and
wherein the calculating determines a level of the predetermined levels of expertise in which the user can understand an answer to the input according to the expertise score of the user being higher than a base amount for the level of the predetermined levels.
13. The computer program product of claim 10 , wherein the input by the user comprises a query to a question-and-answer system.
14. The computer program product of claim 10 , wherein the background data is selected from a group consisting of:
social media data;
a biography of the user;
wearable data; and
educational data.
15. The computer program product of claim 10 , further comprising refining the expertise score based on historical data about the user, the historical data being selected from a group consisting of:
a shopping history of the user;
a search history of the user;
a list of presentations by the user; and
a list of publications by the user.
16. The computer program product of claim 10 , further comprising assigning a weight to each item of the background data based on a recency of the item of the background data.
17. The computer program product of claim 10 , further comprising adjusting the expertise score according to a feedback by the user indicating an understanding of a response by the chat bot based on the expertise score.
18. A user expertise classifying system, said system comprising:
a processor; and
a memory, the memory storing instructions to cause the processor to:
analyze an input by a user based on at least one of vocabulary; orthography, and grammar of the user input;
process user background data relating to a specific topical domain obtained from a database;
calculate an expertise score of the user for the specific topical domain based on the analyzed user input and the processed background data; and
adjust a chat bot for the specific topical domain to interact with the user based on the expertise score,
wherein the calculating repeats the calculating for a second expertise score for a second specific topical domain when the chat bot is for the second specific topical domain, and
wherein the chat bot produces a combination of a display response and audio response based on the expertise score,
further comprising increasing the expertise score of the user in a subsequent user input if an amount of time between the user input and the subsequent user input is less than a predetermined threshold time,
wherein the chat bot comprises a conversational artificial intelligence agent.
19. The system of claim 18 , embodied in a cloud-computing environment.