Adobe, Inc.

Power Integrations, Inc.

Xiang Wu

Zhenyu Yan

Abhishek Pani

Yury Gaknoki

Zongqi Hu

Wuyang Dai

Chen Dong

Yi-Hong Kuo

Polina Bartik

Pinak Panigrahi

An improved analytics system generates actionable KPI-based customer segments. The analytics system determines predicted outcomes for a key performance indicator (KPI) of interest and a contribution value for each variable indicating an extent to which each variable contributes to predicted outcomes. Topics are generated by applying a topic model to the contribution values for the variables. Each topic comprises a group of variables with a contribution level for each variable that indicates the importance of each variable to the topic. User segments are generated by assigning each user to a topic based on attribution levels output by the topic model.

Actionable KPI-driven segmentation

A bid management system generates estimated performance metrics at the bid unit level to facilitate bid optimization. The bid management system includes a hierarchical feature selection and prediction approach. Feature selection is performed by aggregating historical performance metrics to a higher hierarchical level and testing features for statistical significance. Features for which a significance level satisfies a significance threshold are selected for prediction analysis. The prediction analysis uses a statistical model based on selected features to generate estimated performance metrics at the bid unit level. In some implementations, the prediction analysis uses a hierarchical Bayesian smoothing method in which estimated performance metrics are calculated at the bid unit level using a posterior probability distribution derived from a prior probability distribution determined based on aggregated performance metrics and a likelihood function that takes into account historical performance metrics from the bid unit level based on the selected features.

Hierarchical feature selection and predictive modeling for estimating performance metrics

A controller to regulate an output voltage of a power converter comprising a feedback reference circuit to generate a drive signal to control a power switch in response to the feedback signal and an output power control circuit configured to generate an adjust signal in response to an output current of the power converter and a desired value of an output power of the power converter, the adjust signal adjusts the feedback signal such that the controller regulates the output voltage to achieve the desired value of the output power. The output power control circuit further comprises an analog-to-digital converter (ADC), a calculator circuit, and an update circuit. The ADC provides a measure signal which is a digital representation of the output current, the calculator circuit determines a calculated value of the output voltage, and the update circuit further outputs an update signal to update the adjust signal.

Controlled power circuit with adjusted voltage feedback to regulate the output power

In various implementations, analytics data is received that indicates performance of bid targets for historical bids made in one or more content delivery auctions. Baseline prediction models are maintained for the bid targets. The baseline prediction models use the analytics data to predict performance of the bid targets in one or more future instances of at least one content delivery auction. A presentation context factor model is maintained that provides an adjustment factor that quantifies a contribution of a subset of a plurality of presentation context factors associated with the bid targets to performance of the bid targets based on predicted values from the baseline prediction models. A contextual predicted value is computed using the adjustment factor for the subset of the plurality of presentation context factors. A performance prediction is transmitted to a user device and is based on at least the contextual predicted value.

Prediction of content performance in content delivery based on presentation context

A controller for use in a power converter comprising a feedback reference circuit coupled to receive a feedback signal representative of an output voltage of the power converter. A feedback reference circuit generates a drive signal in response to the feedback signal and the drive signal is used to control switching of a power switch of the power converter to regulate the output voltage. The controller further comprises an output power control circuit coupled to receive a current sense signal representative of an output current of the power converter and a power signal representative of a desired value of an output power of the power converter. The output power control circuit generates an adjust signal to adjust the feedback signal such that the controller modifies the output voltage to regulate to the desired value of the output power.

A controller for use in a power converter includes a sense circuit coupled to generate a feedback signal representative of an output voltage of the power converter. A feedback reference circuit coupled to generate a drive signal in response to the feedback signal. An output power control circuit coupled to receive a current sense signal representative of an output current of the power converter and a power signal representative of a desired value of an output power of the power converter via an interface. The controller modifies the output voltage to regulate to the output power to the desired value.

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San Jose, CA, United States of America

Xiang Wu