Relevance Ranking For Data And Transformations

摘要

A system for generating a new dataset gleans a corpus of datasets to find attributes that could be used to construct a new dataset. When an entity selects attributes, the system analyzes relationships between the selected attributes and unselected attributes in order to generate a ranked list of suggested attributes, with the most relevant attributes at the top of the list. The system could also use this system to suggest transformations to the attributes for use in the new dataset. The entity could then select additional attributes and/or transformations to apply to the new dataset before the new dataset is generated.

主权项

1. A system for generating a new dataset from disparate data sources, comprising:
a computer readable memory; a data collection module that stores, on the memory, a plurality of datasets, wherein each dataset comprises a set of attributes, and that stores, on the memory, an aggregated set of attributes from the plurality of datasets; a interface module that provides a list of the aggregated set of attributes to a distal computing device and receives a first selection of attributes for the new dataset from the distal computing device; and a relevance ranking module that generates a first ranked list of suggested attributes from the aggregated set of attributes as a function of the first selection of attributes, wherein the interface module is further configured to provide the first ranked list of suggested attributes to the distal computing device.