DYNAMICALLY DETECTING USER PERSONAS OF NETWORK USERS FOR CUSTOMIZED SUGGESTIONS
A platform dynamically detects a user persona and facilitates a user objective in a user session. The platform obtains user activity of users across multiple historical sessions. The platform clusters similar user activity across the historical sessions to determine personas being used in the histor...
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creator | Shao, Qihong Engle, Matthew R Viktorov, Josh White, JR., David C Jung, Doosan Singh, Gurvinder |
description | A platform dynamically detects a user persona and facilitates a user objective in a user session. The platform obtains user activity of users across multiple historical sessions. The platform clusters similar user activity across the historical sessions to determine personas being used in the historical sessions. The platform mines sequential patterns in a set of user activity data associated with one of the personas and determines at least one predictive rule associated with that persona. Each predictive rule includes an initial activity among the set of user activity data and at least one subsequent activity in the set of user activity data. |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | DYNAMICALLY DETECTING USER PERSONAS OF NETWORK USERS FOR CUSTOMIZED SUGGESTIONS |
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