Filter selection in search environments

摘要

Techniques for utilizing sets of filters to reduce a large number of searchable assets to a meaningful or reduced number of searchable assets. Feature information may be extracted from a particular asset of a set of training assets to create an artificial term. A reduction ratio may then be calculated by utilizing the created artificial term to filter the set of training assets. The reduction ratio may represent the ratio of training assets that contain a particular artificial term. A plurality of filters and their associated reduction ratios may be created this way by utilizing the set of training assets. This process can also involve receiving a requested reduction ratio associated with a set of searchable assets. A combination of filters may then be selected which, when applied to the set of searchable assets, results in a reduced number of searchable assets according to the requested reduction ratio.

主权项

1. A computer-implemented method, comprising:
identifying filter reduction ratios for a plurality of filters, each respective filter reduction ratio corresponding to a respective reduction of training assets based on use of a respective filter, wherein identifying a filter reduction ratio for a filter of the plurality of filters comprises:
creating an artificial term for the filter based on color information;filtering the training assets using the created artificial term; andcalculating the filter reduction ratio for the filter based at least in part on the filtered training assets and the training assets; receiving a requested reduction ratio; and selecting, by a computing system, a subset of filters from the plurality of filters based at least in part on the requested reduction ratio and the filter reduction ratios, the subset of filters selected such that applying the subset of filters to a set of a number of media assets reduces the number of media assets in the set according to the requested reduction ratio.