Googel Inc.

Matthias Zenger

Salih Burak Gokturk

Lars Fabian Krüger

Istvan Hernadvolgyi

Thomas Kotzmann

Robert Moritz Buessow

Vinsensius Berlian Vega Satriardhi Naryanto

Eric Tholome

Burak Emir

Florin Oswald

Kate Emma Whelan

Systems and methods for hierarchically partitioning a data set including a plurality of offerings are described. A system receives a data set including a plurality of offerings characterized by one or more offering attributes. The system identifies one or more candidate offering attributes associated with the offerings according to which the offerings are to be partitioned. The system assigns a partition hierarchy level to each of the candidate offering attributes that indicates a hierarchy of the offering attribute relative to other candidate offering attributes. The system determines, for each of the candidate offering attributes, a plurality of attribute values according to which the offerings are to be partitioned. The system partitions the plurality of offerings across a plurality of partition groups according to a hierarchical decision tree structure based on the partition hierarchy levels of the candidate offering attributes and the identified attribute values of each of the candidate offering attributes.

Methods and systems for hierarchically partitioning a data set including a plurality of offerings

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Zurich, Switzerland

Matthias Zenger