Invention Grant
- Patent Title: Digital channel personalization based on artificial intelligence (AI) and machine learning (ML)
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Application No.: US17085680Application Date: 2020-10-30
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Publication No.: US12033184B2Publication Date: 2024-07-09
- Inventor: Marc Perreau Guimaraes , Tetiana Kostenko , Samira Sadeghi , Mingde Xu , Abhishek Soni , Romeo B. Valencia , Nancy Huei-Jiun Lee
- Applicant: Sitecore Corporation A/S
- Applicant Address: DK Copenhagen
- Assignee: SITECORE CORPORATION A/S
- Current Assignee: SITECORE CORPORATION A/S
- Current Assignee Address: DK Copenhagen
- Agency: Gates & Cooper LLP
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06F16/90 ; G06F16/906 ; G06N20/00 ; G06Q30/0251

Abstract:
A method, system, and apparatus provide the ability to personalize a digital channel. A digital channel is provided to multiple users and visitor information at each visit is collected. The visitor information includes data about each visit and multiple content items that are presented. The users are autonomously clustered by segmenting the user population into behavioral groups such that mutual information is maximized between the users in an assigned behavioral group and the content items. Based on the clustering, a model is generated that estimates a score for each interaction between users and content items. The model is updated at a defined interval. Based on the score, content items to recommend to a specific user are determined. The recommendation jointly maximizes an outcome and a learning speed of the model. The personalized digital channel is delivered to the specific user based on the recommended multiple content items.
Public/Granted literature
- US20220138798A1 DIGITAL CHANNEL PERSONALIZATION BASED ON ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) Public/Granted day:2022-05-05
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