| 发明名称 |
MACHINE LEARNING FOR REAL-TIME ADAPTIVE WEBSITE INTERACTION |
| 摘要 |
Apparatuses, systems, methods, and computer program products are disclosed for website interaction. An input module is configured to receive information from multiple sources. The information may be associated with a user of a website. A machine learning module is configured to apply machine learning to the information to produce a machine learning result. A website adaptation module is configured to adapt the website for the user in real-time based on the machine learning result. |
| 申请公布号 |
US2014236875(A1) |
申请公布日期 |
2014.08.21 |
| 申请号 |
US201414266093 |
申请日期 |
2014.04.30 |
| 申请人 |
PurePredictive, Inc. |
发明人 |
Phillipps Kelly D.;Wellman Richard W.;Lovell James T. |
| 分类号 |
G06N99/00 |
主分类号 |
G06N99/00 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A method for website interaction, the method comprising:
receiving information associated with a user of a website, the information received from multiple sources; inputting the information into machine learning to produce a machine learning result; and adapting the website for the user in real-time based on the machine learning result. |
| 地址 |
Sandy UT US |
