Performing cognitive operations based on an aggregate user model of personality traits of users
First Claim
1. A method, in a natural language processing (NLP) system comprising a processor and a memory, the method comprising:
- receiving, by the NLP system, a plurality of communications associated with a communication system, over a predetermined time period, from a plurality of end user devices;
identifying, by the NLP system, for each communication in the plurality of communications, a user submitting the communication to thereby generate a set of users comprising a plurality of users associated with the plurality of communications;
retrieving, by the NLP system, a user model for each user in the set of users, wherein the user model specifies at least one attribute of a corresponding user;
generating, by the NLP system, an aggregate user model that aggregates the at least one attribute of each user in the set of users together to generate an aggregate representation of the attributes of the plurality of users in the set of users; and
performing, by the NLP system, a cognitive operation based on the aggregate user model, wherein the cognitive operation comprises at least one of forwarding a suggestion specified in one or more of the communications in the plurality of communications to another user based on a matching of a user model of the other user being associated with the aggregate user model, scoring a candidate answer to a question based on a correlation of the user model of the other user being associated with the aggregate user model and outputting at least one candidate answer to the other user based on scores of the one or more candidate answers, or filtering messages exchanged during the predetermined time period and outputting results of the filtering of the messages to the other user.
1 Assignment
0 Petitions
Accused Products
Abstract
Mechanisms, in a natural language processing (NLP) system are provided. The NLP system receives a plurality of communications associated with a communication system, over a predetermined time period, from a plurality of end user devices. The NLP system identifies, for each communication in the plurality of communications, a user submitting the communication to thereby generate a set of users comprising a plurality of users associated with the plurality of communications. The NLP system retrieves a user model for each user in the set of users, which specifies at least one attribute of a corresponding user. The NLP system generates an aggregate user model that aggregates the at least one attribute of each user in the set of users together to generate an aggregate representation of the attributes of the plurality of users in the set of users. The NLP system performs a cognitive operation based on the aggregate user model.
-
Citations
23 Claims
-
1. A method, in a natural language processing (NLP) system comprising a processor and a memory, the method comprising:
-
receiving, by the NLP system, a plurality of communications associated with a communication system, over a predetermined time period, from a plurality of end user devices; identifying, by the NLP system, for each communication in the plurality of communications, a user submitting the communication to thereby generate a set of users comprising a plurality of users associated with the plurality of communications; retrieving, by the NLP system, a user model for each user in the set of users, wherein the user model specifies at least one attribute of a corresponding user; generating, by the NLP system, an aggregate user model that aggregates the at least one attribute of each user in the set of users together to generate an aggregate representation of the attributes of the plurality of users in the set of users; and performing, by the NLP system, a cognitive operation based on the aggregate user model, wherein the cognitive operation comprises at least one of forwarding a suggestion specified in one or more of the communications in the plurality of communications to another user based on a matching of a user model of the other user being associated with the aggregate user model, scoring a candidate answer to a question based on a correlation of the user model of the other user being associated with the aggregate user model and outputting at least one candidate answer to the other user based on scores of the one or more candidate answers, or filtering messages exchanged during the predetermined time period and outputting results of the filtering of the messages to the other user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
-
-
11. A method, in a natural language processing (NLP) system comprising a processor and a memory, the method comprising:
-
receiving, by the NLP system, a plurality of communications associated with a communication system, over a predetermined time period, from a plurality of end user devices; identifying, by the NLP system, for each communication in the plurality of communications, a user submitting the communication to thereby generate a set of users comprising a plurality of users associated with the plurality of communications; retrieving, by the NLP system, a user model for each user in the set of users, wherein the user model specifies at least one attribute of a corresponding user; generating, by the NLP system, an aggregate user model that aggregates the at least one attribute of each user in the set of users together to generate an aggregate representation of the attributes of the plurality of users in the set of users; and performing, by the NLP system, a cognitive operation based on the aggregate user model, wherein; for each user in the set of users, the at least one attribute comprises at least one personality trait of the user, generating the aggregate user model comprises; correlating personality trait values, for each personality trait specified in the user models of the set of users, to identify correlated personality trait values from among the user models; eliminating non-correlating personality trait values that are more than one standard deviation away from other similar personality trait values; and summing, for each personality trait specified in the user models, the correlated personality trait values to generate an aggregate score for each personality trait, correlating personality trait values comprises; calculating a standard deviation for all personality trait values specified in the user models for a selected personality trait; generating a plurality of brackets of personality trait values for the personality trait, wherein each bracket in the plurality of brackets represents a separate and distinct range of personality trait values from the other brackets in the plurality of brackets; and associating each personality trait value in the personality trait values specified in the user models with one of the brackets in the plurality of brackets, and wherein generating the aggregate user model further comprises; for each bracket in the plurality of brackets, counting a number of personality trait values falling within the bracket to generate a bracket count; selecting two brackets from the plurality of brackets based on the bracket counts of the plurality of brackets; determining if the selected brackets have ranges of personality trait values that are adjacent to each other; and in response to the selected brackets having ranges of personality trait values that are adjacent to each other, selecting the personality trait values that are within the selected brackets and eliminating the lowest and highest personality trait values that are one standard deviation away from high and low personality trait values of the selected brackets.
-
-
12. A computer program product comprising a non-transitory computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device implementing a natural language processing (NLP) system, causes the computing device to:
-
receive, by the NLP system, a plurality of communications associated with a communication system, over a predetermined time period, from a plurality of end user devices; identify, by the NLP system, for each communication in the plurality of communications, a user submitting the communication to thereby generate a set of users comprising a plurality of users associated with the plurality of communications; retrieve, by the NLP system, a user model for each user in the set of users, wherein the user model specifies at least one attribute of a corresponding user; generate, by the NLP system, an aggregate user model that aggregates the at least one attribute of each user in the set of users together to generate an aggregate representation of the attributes of the plurality of users in the set of users; and perform, by the NLP system, a cognitive operation based on the aggregate user model, wherein the cognitive operation comprises at least one of forwarding a suggestion specified in one or more of the communications in the plurality of communications to another user based on a matching of a user model of the other user being associated with the aggregate user model, scoring a candidate answer to a question based on a correlation of the user model of the other user being associated with the aggregate user model and outputting at least one candidate answer to the other user based on scores of the one or more candidate answers, or filtering messages exchanged during the predetermined time period and outputting results of the filtering of the messages to the other user. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21)
-
-
22. A computer program product comprising a non-transitory computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device implementing a natural language processing (NLP) system, causes the computing device to:
-
receive, by the NLP system, a plurality of communications associated with a communication system, over a predetermined time period, from a plurality of end user devices; identify, by the NLP system, for each communication in the plurality of communications, a user submitting the communication to thereby generate a set of users comprising a plurality of users associated with the plurality of communications; retrieve, by the NLP system, a user model for each user in the set of users, wherein the user model specifies at least one attribute of a corresponding user; generate, by the NLP system, an aggregate user model that aggregates the at least one attribute of each user in the set of users together to generate an aggregate representation of the attributes of the plurality of users in the set of users; and perform, by the NLP system, a cognitive operation based on the aggregate user model, wherein; for each user in the set of users, the at least one attribute comprises at least one personality trait of the user, the computer readable program further causes the computing device to generate the aggregate user model at least by; correlating personality trait values, for each personality trait specified in the user models of the set of users, to identify correlated personality trait values from among the user models; eliminating non-correlating personality trait values that are more than one standard deviation away from other similar personality trait values; and summing, for each personality trait specified in the user models, the correlated personality trait values to generate an aggregate score for each personality trait, correlating personality trait values comprises; calculating a standard deviation for all personality trait values specified in the user models for a selected personality trait; generating a plurality of brackets of personality trait values for the personality trait, wherein each bracket in the plurality of brackets represents a separate and distinct range of personality trait values from the other brackets in the plurality of brackets; and associating each personality trait value in the personality trait values specified in the user models with one of the brackets in the plurality of brackets, and the computer readable program further causes the computing device to generate the aggregate user model at least by; for each bracket in the plurality of brackets, counting a number of personality trait values falling within the bracket to generate a bracket count; selecting two brackets from the plurality of brackets based on the bracket counts of the plurality of brackets; determining if the selected brackets have ranges of personality trait values that are adjacent to each other; and in response to the selected brackets having ranges of personality trait values that are adjacent to each other, selecting the personality trait values that are within the selected brackets and eliminating the lowest and highest personality trait values that are one standard deviation away from high and low personality trait values of the selected brackets.
-
-
23. An apparatus comprising:
-
a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to; receive a plurality of communications associated with a communication system, over a predetermined time period, from a plurality of end user devices; identify for each communication in the plurality of communications, a user submitting the communication to thereby generate a set of users comprising a plurality of users associated with the plurality of communications; retrieve a user model for each user in the set of users, wherein the user model specifies at least one attribute of a corresponding user; generate an aggregate user model that aggregates the at least one attribute of each user in the set of users together to generate an aggregate representation of the attributes of the plurality of users in the set of users; and perform a cognitive operation based on the aggregate user model, wherein the cognitive operation comprises at least one of forwarding a suggestion specified in one or more of the communications in the plurality of communications to another user based on a matching of a user model of the other user being associated with the aggregate user model, scoring a candidate answer to a question based on a correlation of the user model of the other user being associated with the aggregate user model and outputting at least one candidate answer to the other user based on scores of the one or more candidate answers, or filtering messages exchanged during the predetermined time period and outputting results of the filtering of the messages to the other user.
-
Specification