Abstract: Systems, methods and computer program code are provided to perform visual searches.

Abstract: In certain embodiments, media item search and machine learning system training may be facilitated. In some embodiments, a first set of media items may be obtained (based on performance of a query) and presented on a user interface. A user selection of a media item of the first set may be obtained, and the query may be updated based on the user-selected media item. A second set of media items may be obtained based on performance of the updated query, and media items of the second set may be assigned to a group based on their similarities with one another. A predicted name for the group may be determined via a machine learning system and presented on the user interface. A user-indicated update to the predicted name for the group may be obtained and provided to the machine learning system to train the machine learning system.

Abstract: Systems and methods for facilitating searching, labeling, and/or filtering of digital media items are described. Users may provide queries for digital media items. Results from a search may be presented to the users. A user may provide selection of one or more displayed digital media items. A user selection may provide a digital media item exemplar that may be used to update the user-provided queries. Further searches based on the updated queries may be performed. A repository of digital media items may be queried both with an original text query supplied by a user and an updated query based user selection of digital media items returned from the original text query search. A user may be able to refine an initial text, image, and/or other query without having to know additional search terms.