Patent ID: 11907990
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A processor-implemented method comprising:
in response to receiving a user query in a conversational system related to an item, extracting, by a processor, a plurality of features and a plurality of attributes corresponding to the item;
generating a machine learning model of user preferences associated with the plurality of features and the plurality of attributes based on one or more historical user queries with the conversational system;
analyzing a plurality of reviews of the item from a plurality of databases using conjoint analysis to determine a sentiment toward the extracted features and attributes, wherein the plurality of reviews are separated into cohorts based on intended use by a review writer;
calculating a desirability score for each feature and each attribute within a cohort, wherein each feature and each attribute is assigned a tag based on the desirability score satisfying one or more thresholds related to a level of necessity that a specific feature or attribute be included in the item, and wherein the desirability score is calculated as a comparison between a total number of positive reviews of a feature or attribute and a total number of negative reviews of the feature or attribute;
generating a data analytics model that determines in which cohort the user corresponds and orders each feature and each attribute within the cohort based on each calculated desirability score satisfying a threshold value;
generating a response to the user query based on the generated data analytics model; and
predicting a user approval of the generated response based on the generated machine learning model.