MACHINE-LEARNING MODELS APPLIED TO INTERACTION DATA FOR FACILITATING EXPERIENCE-BASED MODIFICATIONS TO INTERFACE ELEMENTS IN ONLINE ENVIRONMENTS
First Claim
1. A method for causing an online platform to modify an interactive computing environment based on an interface experience metric, where the method include one or more processing devices perform operations comprising:
- applying a state prediction model to interaction data from an online platform and thereby computing probabilities of transitioning from a click state to different next states;
identifying a current base value for the click state and subsequent base values for the different next states;
computing value differentials between the current base value and the subsequent base values, wherein each value differential indicates a changed quality of interface experience between the click state and a next state; and
computing the interface experience metric from a sum of the current base value and the value differentials weighted with the probabilities computed by the state prediction model; and
transmitting the interface experience metric to the online platform, wherein the interface experience metric is usable for changing arrangements of interface elements to improve the interface experience metric.
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Accused Products
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.
6 Citations
20 Claims
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1. A method for causing an online platform to modify an interactive computing environment based on an interface experience metric, where the method include one or more processing devices perform operations comprising:
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applying a state prediction model to interaction data from an online platform and thereby computing probabilities of transitioning from a click state to different next states; identifying a current base value for the click state and subsequent base values for the different next states; computing value differentials between the current base value and the subsequent base values, wherein each value differential indicates a changed quality of interface experience between the click state and a next state; and computing the interface experience metric from a sum of the current base value and the value differentials weighted with the probabilities computed by the state prediction model; and transmitting the interface experience metric to the online platform, wherein the interface experience metric is usable for changing arrangements of interface elements to improve the interface experience metric. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system comprising:
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a memory device storing interaction data generated by interactions with interface elements of an online platform; a host system configured for; hosting the online platform, and modifying an arrangement of the interface elements based on an interface experience metric computed from the interaction data; and an environment evaluation system comprising; one or more processing devices configured for performing operations comprising; applying a state prediction model to interaction data from an online platform and thereby computing probabilities of transitioning from a click state to different next states; identifying a current base value for the click state and subsequent base values for the different next states, applying an experience valuation model that computes value differentials between the current base value and the subsequent base values, wherein each value differential indicates a changed quality of interface experience between the click state and a next state, and computing, with the experience valuation model, the interface experience metric from a sum of the current base value and the value differentials weighted with the probabilities computed by the state prediction model; and a network interface device configured for transmitting the interface experience metric to the online platform. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A non-transitory computer-readable medium having program code that is stored thereon, the program code executable by one or more processing devices for performing operations comprising:
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applying a state prediction model to interaction data from an online platform and thereby computing probabilities of transitioning from a click state to different next states; identifying a current base value for the click state and subsequent base values for the different next states; computing value differentials between the current base value and the subsequent base values, wherein each value differential indicates a changed quality of interface experience between the click state and a next state; and computing an interface experience metric from a sum of the current base value and the value differentials weighted with the probabilities computed by the state prediction model; and transmitting the interface experience metric to the online platform, wherein the interface experience metric is usable for changing arrangements of interface elements to improve the interface experience metric. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification