Evaluating Coincident Interaction Indicators
AssigneeAdobe Systems Incorporated
InventorAyman Farahat
Life of this patent
Estimating the term…
Abstract
Disclosed are embodiments for determining the impact of one or more latent factors on user interaction metrics based at least in part on an impact model. The embodiments identify a value for a user interaction metric, the user interaction metric measuring interaction with content and identify an impact for a latent factor on the user interaction metric, the impact determined based at least in part on a model providing a relationship between the user interaction metric and the latent factor. Additionally, embodiments may involve adjusting an attribute of the electronically provided content based at least in part on the impact of the latent factor on the user interaction metric.
Claims20
A method comprising:
- identifying a value for a user interaction metric, the user interaction metric measuring interaction with content;
- identifying an impact of a latent factor on the user interaction metric, the impact determined based at least in part on a model providing a relationship between the user interaction metric and the latent factor;
- and
- adjusting an attribute of the content based at least in part on the impact of the latent factor on the user interaction metric.
A method comprising:
- measuring a user interaction metric associated with content;
- deriving an impact value that represents an impact by a dynamic latent factor on the user interaction metric according to a dynamic impact model, the dynamic impact model defining an impact of a latent factor on the user interaction metric;
- and
- generating a recommendation related to at least one attribute associated with the content based at least in part on comparing the impact value to a threshold value.
A system comprising:
- a processor for executing instructions stored in computer-readable medium on one or more devices,
- the instructions comprising one or more modules configured to perform the steps comprising:
- identifying a value for a user interaction metric, the user interaction metric measuring interaction with content;
- identifying an impact of a latent factor on the user interaction metric, the impact determined based at least in part on an impact model defining a relationship between the user interaction metric and the latent factor;
- and
- generating a recommendation to adjust at least one attribute of the content based at least in part on the impact of the latent factor on the user interaction metric.
Dependencies are inferred from the claim text.