US 2021/0241158 A1 · MACHINE-LEARNING MODELS APPLIED TO INTERACTION DATA FOR FACILITATING EXPERIENCE-BASED MODIFICATIONS TO INTERFACE ELEMENTS IN ONLINE ENVIRONMENTS

Abstract

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.

Claims20

Dependent claims

A method comprising:

operating an environment evaluation system for working with a host system configured for:
performing a modification of an arrangement of interface elements of an online platform based on an interface experience metric computed from interaction data from the online platform;
and
performing, with one or more processing devices of the environment evaluation system, operations comprising:
computing probabilities of transitioning from a click state to different next states based on the interaction data from the online platform;
computing value differentials between a current base value for the click state and subsequent base values for the different next states;
computing the interface experience metric from a sum of the current base value and the value differentials weighted with the probabilities of transitioning;
and
providing the host system with the interface experience metric.

6 more elements

A system comprising:

one or more processing devices configured to:
operate an environment evaluation system for working with a host system configured for:
performing a modification of an arrangement of interface elements of an online platform based on an interface experience metric computed from interaction data generated by interactions with the interface elements of the online platform;
and
perform, with the environment evaluation system, operations comprising:
computing probabilities of transitioning from a click state to different next states based on the interaction data from the online platform;
computing value differentials between a current base value for the click state and subsequent base values for the different next states;
and
computing the interface experience metric from a sum of the current base value and the value differentials weighted with the probabilities of transitioning;
and
a network interface device configured for transmitting the interface experience metric to the host system.

8 more elements

A non-transitory computer-readable medium having program code that is stored thereon, the program code executable by one or more processing devices to cause the one or more processing devices to:

operate an environment evaluation system for working with a host system configured for:
performing a modification of an arrangement of interface elements of an online platform based on an interface experience metric computed from interaction data;
and perform, with the environment evaluation system, operations comprising:
computing probabilities of transitioning from a click state to different next states based on the interaction data from the online platform;
computing value differentials between a current base value for the click state and subsequent base values for the different next states;
computing the interface experience metric from a sum of the current base value and the value differentials weighted with the probabilities of transitioning;
and
providing the host system with the interface experience metric.

5 more elements

Dependencies are inferred from the claim text.

Machine-learning models applied to interaction data for facilitating experience-based modifications to interface elements in online environments

Life of this patent

Machine-learning models applied to interaction data for facilitating experience-based modifications to interface elements in online environments

Life of this patent

Abstract

Claims20