Invention Grant
- Patent Title: Training a learning algorithm to suggest domain names
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Application No.: US16259805Application Date: 2019-01-28
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Publication No.: US11245665B2Publication Date: 2022-02-08
- Inventor: Wei-Cheng Lai , Yu Tian , Wenbo Wang , Chungwei Yen
- Applicant: Go Daddy Operating Company, LLC
- Applicant Address: US AZ Scottsdale
- Assignee: Go Daddy Operating Company, LLC
- Current Assignee: Go Daddy Operating Company, LLC
- Current Assignee Address: US AZ Scottsdale
- Agency: Greenberg Traurig, LLP
- Main IPC: H04L29/12
- IPC: H04L29/12 ; G06N20/00 ; G06F16/33 ; G06K9/62 ; G06F16/338

Abstract:
Methods are taught for creating training data for a learning algorithm, training the learning algorithm with the training data and using the trained learning algorithm to suggest domain names to users. A domain name registrar may store activities of a user on a registrar website. Preferably, domain name searches, selected suggested domain names and domain names registered to the user are stored as the training data in a training database. The training data may be stored so that earlier activities act as inputs to the learning algorithm while later activities are the expected outputs of the learning algorithm. Once trained, the learning algorithm may receive activities of other users and suggest domain names to the other users based on their activities.
Public/Granted literature
- US20200244621A1 TRAINING A LEARNING ALGORITHM TO SUGGEST DOMAIN NAMES Public/Granted day:2020-07-30
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