Groupon, Inc.

Bytedance Inc.

Mark Thomas Daly

Nick Pendar

Shawn Ryan Jeffery

David Alan Johnston

Matthew DeLand

Andrew James

Sean O'Brien

Ramkumar Rajendran

Xiaolei Li

In general, embodiments of the present invention provide systems, methods and computer readable media for automated dynamic data quality assessment. One aspect of the subject matter described in this specification includes the actions of receiving a data quality job including a new data sample; and, if the new data sample is determined to be added to a reservoir of data samples, sending a quality verification request to an oracle; receiving a new data sample quality estimate from the oracle; and adding the new data sample and estimate to the reservoir. A second aspect of the subject matter includes the actions of receiving, from a predictive model, a judgment associated with a new data sample; analyzing the new data sample based in part on the judgment to determine whether to send a new data sample quality verification request to an oracle; and, if a new data sample quality estimate is received from the oracle, determining whether to add the new data sample and the judgment to the reservoir.

Automated dynamic data quality assessment

A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Deal allocation platform

Provided herein are methods, apparatus, and computer program products for suppressing content from ranked positioning in electronic correspondence based on rules-based scoring. An example method comprising receiving a set of promotions selected for presentation to the consumer in the electronic correspondence, each promotion respectively associated with a promotion score, determining, using a rules-based filter comprising a set of rules, whether to modify a promotion score, including customer attributes and customer input to a promotion offering system, in an instance in which the promotion score is modified, determining whether to suppress presentation of the associate promotion in the electronic correspondence based at least in part on the modified promotion score, and generating the electronic correspondence to include one or more promotions and one or more ranked positions configured for displaying each of the one or more promotions in the electronic correspondence for presentation on a consumer device associated with the consumer.

Method, apparatus, and computer program product for suppressing content from ranked positioning in electronic correspondence based on rules-based scoring

Embodiments provide for automated dynamic data quality assessment. A data quality job including a new data sample is received. If the new data sample is determined to be added to a reservoir of data samples, a quality verification request is sent to an oracle. A new data sample quality estimate is received from the oracle. The new data sample and estimate can be added to the reservoir. A judgment associated with a new data sample is received from a predictive model. Whether to send a new data sample quality verification request to an oracle is determined. If a new data sample quality estimate is received from the oracle, whether to add the new data sample and the judgment to the reservoir is determined.

Automated adaptive data analysis using dynamic data quality assessment

Provided herein are systems, methods and computer readable media for determining whether to suppress presentation of a promotion from a promotion program in an electronic correspondence to a consumer. An example system may performing operations comprising receiving a set of promotions selected for presentation to the consumer in the electronic correspondence, each promotion respectively associated with a promotion score representing an estimated acceptance of the associated promotion by the consumer, determining, using a rules-based filter comprising a set of rules, whether to modify the promotion score, including geofencing data and the consumer's previous promotion purchasing history, in an instance in which the promotion score is modified, determining whether to suppress presentation of the promotion in the electronic correspondence based at least in part on the modified promotion score.

Method, apparatus, and computer program product for performing a rules-based determination on the suppression of an electronic presentation of an item

In general, embodiments of the present invention provide systems, methods and computer readable media for an adaptive oracle-trained learning framework for automatically building and maintaining models that are developed using machine learning algorithms. In embodiments, the framework leverages at least one oracle (e.g., a crowd) for automatic generation of high-quality training data to use in deriving a model. Once a model is trained, the framework monitors the performance of the model and, in embodiments, leverages active learning and the oracle to generate feedback about the changing data for modifying training data sets while maintaining data quality to enable incremental adaptation of the model.

Growing community of inventors

San Francisco, CA, United States of America

Mark Thomas Daly