Google Inc.

Googel Inc.

Istvan Hernadvolgyi

Salih Burak Gokturk

Bhaskar Mehta

Lars Fabian Krüger

Ihar Mahaniok

Eric Tholome

Burak Emir

Florin Oswald

Kate Emma Whelan

Matthias Zenger

Robert Moritz Buessow

Thomas Kotzmann

Vinsensius Berlian Vega Satriardhi Naryanto

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

Methods, systems and apparatus, including computer programs encoded on a computer storage medium, for receiving an application installation log, the application installation log including per-user installation data indicating when each of a plurality of applications available through an application marketplace was installed on a plurality of computing devices, determining an overall score corresponding to a first application and a second application, the score indicating a degree of overlap in installation periods of the first application and the second application on the plurality of computing devices, determining that the overall score is greater than or equal to a threshold score, generating an index, the index associating the second application as an application of interest in view of the first application, and storing the index in computer-readable memory.

Generating application recommendations based on user installed applications

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Adliswil, Switzerland

Istvan Hernadvolgyi