- 专利标题: Machine-learning models applied to interaction data for facilitating experience-based modifications to interface elements in online environments
-
申请号: US17236506申请日: 2021-04-21
-
公开(公告)号: US12124948B2公开(公告)日: 2024-10-22
- 发明人: Atanu R. Sinha , Deepali Jain , Nikhil Sheoran , Deepali Gupta , Sopan Khosla
- 申请人: Adobe Inc.
- 申请人地址: US CA San Jose
- 专利权人: ADOBE INC.
- 当前专利权人: ADOBE INC.
- 当前专利权人地址: US CA San Jose
- 代理机构: Kilpatrick Townsend & Stockton LLP
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06F17/11 ; G06F18/214 ; G06F18/23 ; G06N7/01 ; G06N20/00
摘要:
In some embodiments, a computing system computes, with a state prediction model, probabilities of transitioning from a click state represented by interaction data to various predicted next states. The computing system computes an interface experience metric for the click with an experience valuation model. To do so, the computing system identifies base values for the click state and the predicted next states. The computing system computes value differentials for between the click state's base value and each predicted next state's base value. Value differentials indicate qualities of interface experience. The computing system determines the interface experience metric from a summation that includes the current click state's base value and the value differentials weighted with the predicted next states' probabilities. The computing system transmits the interface experience metric to an online platform, which can cause interface elements of the online platform to be modified based on the interface experience metric.
公开/授权文献
信息查询