METHOD AND APPARATUS FOR CUSTOMER EXPERIENCE SEGMENTATION BASED ON A WEB SESSION EVENT VARIATION

Patent №

US 9,105,035

Granted

2015-08-11

Filed 2012

Owner

TEALEAF TECHNOLOGY, INC.

Lab

AI components

5

ml · nlp · vision · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13532415

Web session events are captured during different web sessions. A segmentation model is generated based on a number of occurrences of the web session events for different time stamp periods. The segmentation model plots a segmentation graph that may identify differences between the web session events with respect to time factors. The segmentation model may use the whole dataset of event occurrences as an input without any preliminary data segmentation or discrimination. The model can associate the web session events with the different geographic locations, reveal possible reasons for customer experience difference for the users from different locations and provide statistically sound explanation of this difference. The model is scalable and may work with big data acquired by web-based commerce sites with wide international customer base.

Machine learningNatural languageVisionKnowledge representationPlanningG06Q 30/02G06Q 30/0202H04L 43/04H04L 43/045H04L 67/306H04L 67/535

AI classification

Planning0.98
Knowledge representation0.97
Machine learning0.97
Natural language0.95
Vision0.64
AI hardware0.23
Speech0.00
Evolutionary computation0.00

Ownership

TEALEAF TECHNOLOGY, INC.

assignment · 284380553

Assignors

KOZINE, MIKHAIL B., WENIG, ROBERT I., POWELL, TRAVIS SPENCE

On an employer assignment, the assignors are typically the inventors.

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