US 12,346,940 B2
Quantifying user experience
Helena Shi, Plano, TX (US); and Vimal Prakash, Austin, TX (US)
Assigned to DELL PRODUCTS L.P., Round Rock, TX (US)
Filed by Dell Products, L.P., Round Rock, TX (US)
Filed on Oct. 22, 2021, as Appl. No. 17/508,544.
Prior Publication US 2023/0125823 A1, Apr. 27, 2023
Int. Cl. G06Q 30/0282 (2023.01); G06N 20/00 (2019.01)
CPC G06Q 30/0282 (2013.01) [G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
at least one processor; and
at least one memory that stores executable instructions that, when executed by the at least one processor, facilitate performance of operations, comprising:
determining a group of input data, comprising:
a group of score data indicative of respective ratings of respective experiences of respective users with a website,
a corresponding group of text data indicative of respective accounts of the respective experiences of the respective users with the website, and
a corresponding group of interaction data indicative of respective interactions of the respective users with the website;
categorizing respective text data of the corresponding group of text data based on an intent of respective intents of the respective accounts of the respective experiences, to produce a group of categorized text data;
generating respective binary sparse matrices that represent the respective interaction data of the corresponding group of interaction data;
identifying a binary sparse matrix of the respective binary sparse matrices that corresponds to score data of the group of score data that satisfies a defined score criterion, to produce an identified binary sparse matrix; and
storing an indication of the identified binary sparse matrix, with categorized text data of the group of categorized text data corresponding to the identified binary sparse matrix, wherein the categorizing of the respective text data comprises categorizing the respective text data as one of a complaint, a suggestion, a query, or a compliment.