Abstract: Techniques described herein include systems and methods for evaluating an unsupervised machine learning model. In some embodiments, the system identifies item-to-item similarity values based on historical transaction data. The system may also generate collection data for a number of users based on the historical transaction data. Similarity matrices may be created for each pair of users that include rows associated with a first collection and columns associated with a second collection. Each data field in the similarity matrix may indicate an item-to-item similarity value as identified by the system. In some embodiments, a similarity score may be calculated for the user pair based on the item-to-item similarity values included in the similarity matrix. In some embodiments, the system may generate a graphical summary representation of the similarity matrix.

Abstract: Systems and methods are described that recommend images, items, and/or metadata based at least in part on a reference color palette or reference color name. A color name can be converted into a representation of the color name in a color space. The reference color can be used to identify images that contain the reference color. The identified images and associated metadata can be analyzed, sorted and provided as an ordered list of items. Systems and methods are also described that identify items that contain colors affiliated with the reference color. Systems and methods are also described that validate color identifier information in metadata associated with an image. Systems and methods are also described that identify non-color specific keywords associated with the reference color.

Abstract: A mobile computing device is disclosed. In some aspects, the mobile computing device may execute a first application using one or more processors, and may receive, during execution of the first application, a user selection of a shift key. The mobile computing device may transition a state of the shift key from an unlocked non-shift state to a shift state based on the user selection. The mobile computing device may change the execution of the first application to an execution of a second application, and clear the state of the shift key in response to changing the execution from the first application to the second application.

Abstract: Systems and methods are described herein to generate visualizations associated with color palettes identified from keyword searches. Color palettes may include colors determined by human color preferences. Color palettes may be searched by name or other data associated with the color palettes based at least in part on text or audio data. Visualizations such as mood lighting and/or atmosphere colors may be based at least in part on the searched color palettes.

Abstract: Systems and methods are provided for generating color names for colors corresponding to images and/or palettes. A color image is obtained, and one or more color palettes corresponding to the color image are identified. The color palette may be generated based on palette generation criteria, which may facilitate or control a palette generation process. Illustratively, the palette generation process may include image pre-processing, color distribution generation, representative color identification, palette candidate generation, and palette determination. A color name for each color identified in the color palette and/or the color image can be identified based at least in part on color name popularity information. Color name popularity information may be identified from color name-related voting results provided by a social network site.

Abstract: Systems and methods are provided for determining a principal image from a collection of images presented in a perspective view. A perspective view of images may be interactive and/or images may simultaneously increase or decrease in size in response to user interaction. Methods and/or techniques may be used to determine a principal image from a set of images based on a direction, speed, and/or velocity of movement or user interaction. A principal image in the perspective view may be the largest currently presented image and/or may be presented at the forefront to the user. Furthermore, an animation and/or video may be presented to the user following a determination of a principal image and/or after a configurable period of time without subsequent user interaction, which may further highlight or bring attention to a particular item to the user.

Abstract: Systems and methods are provided for generating color-related item recommendations using color palette information. A request may be received from a user for a color-related item recommendation. The request may include an input image and one or more item attributes. Based at least in part on an analysis of the input image to identify affiliated colors to the input image and the one or more item attributes, one or more items corresponding to the affiliated colors and the one or more item attributes are identified. Where there is more than one identified item, a ranking for the identified plurality of items may be generated. Item recommendations comprising at least a portion of the identified plurality of items in accordance with the generated ranking may be provided for presentation on a user device.

Abstract: Features are provided for the identification of objects in content, such as video content, by analyzing data regarding viewer interactions with other content. The interaction data can be analyzed to identify correlations between time periods of the video (or the video in general) and items that are the subject of, or otherwise associated with, other content with which viewers interact. These correlations can be used to provide, to subsequent viewers of the video, information regarding the items shown in the video, recommendations regarding items or content that may be of interest to subsequent viewers of the video, etc.

Abstract: Systems and methods are provided for generating color-related item recommendations using color palette information. A request may be received from a user for a color-related item recommendation. The request may include an input image and one or more item attributes. Based at least in part on an analysis of the input image to identify affiliated colors to the input image and the one or more item attributes, one or more items corresponding to the affiliated colors and the one or more item attributes are identified. Where there is more than one identified item, a ranking for the identified plurality of items may be generated. Item recommendations comprising at least a portion of the identified plurality of items in accordance with the generated ranking may be provided for presentation on a user device.

Abstract: A system that verifies the attributes included in the description of an item using artificial intelligence is provided. For example, the system may use a feature extractor to identify color, shape, and/or texture features of a provided image. The system may then use a linear classifier to process the extracted features to identify attributes of the item depicted in the image. The system may compare the identified attributes with the attributes listed in the item's description. If there are any discrepancies, the system may revise the item description to include the identified attributes or provide suggested revisions to a user based on the identified attributes.

Abstract: Systems and methods are provided for generating color names for colors corresponding to images and/or palettes. A color image is obtained, and one or more color palettes corresponding to the color image are identified. The color palette may be generated based on palette generation criteria, which may facilitate or control a palette generation process. Illustratively, the palette generation process may include image pre-processing, color distribution generation, representative color identification, palette candidate generation, and palette determination. A color name for each color identified in the color palette and/or the color image can be identified based at least in part on color name popularity information. Color name popularity information may be identified from color name-related voting results provided by a social network site.

Abstract: Systems and methods are provided for generating color names for colors corresponding to images and/or palettes. A color image is obtained, and one or more color palettes corresponding to the color image are identified. The color palette may be generated based on palette generation criteria, which may facilitate or control a palette generation process. Illustratively, the palette generation process may include image pre-processing, color distribution generation, representative color identification, palette candidate generation, and palette determination. A color name for each color identified in the color palette and/or the color image can be identified based at least in part on color name popularity information. Color name popularity information may be identified from color name-related voting results provided by a social network site.

Abstract: A mobile computing device is disclosed. In some implementations, the mobile computing device may receive, from a user, an input character string for presentation on a touch-sensitive display of the mobile computing device, may select a replacement character string based on the input character string, and may replace the input character string with the selected replacement character string. In some aspects, the input character string may be a misspelled word and the replacement character string may be a correctly spelled version of the misspelled word. In other aspects, the input character string may be an abbreviation and the replacement character string may be a completed version of the abbreviation.

Abstract: Systems and methods are provided for generating social networking recommendations. A color preference of a first user may be determined from a color palette of a first image associated with the user and/or a color palette of an item associated with the user. Other users may be identified that have a similar color preference as the first user based at least in part on the determined color preference of the first user. Interactions between the first user and one or more other users having similar color preferences with respect to the first user may be facilitated. A social networking recommendation may be generated with respect to the one or more other users having similar color preferences with respect to the first user.

Abstract: A mobile computing device is disclosed. In some aspects, the mobile computing device may execute a first application using one or more processors, and may receive, during execution of the first application, a user selection of a shift key. The mobile computing device may transition a state of the shift key from an unlocked non-shift state to a shift state based on the user selection. The mobile computing device may change the execution of the first application to an execution of a second application, and clear the state of the shift key in response to changing the execution from the first application to the second application.

Abstract: Systems and methods are provided for generating social networking recommendations. A color preference of a first user may be determined from a color palette of a first image associated with the user and/or a color palette of an item associated with the user. Other users may be identified that have a similar color preference as the first user based at least in part on the determined color preference of the first user. Interactions between the first user and one or more other users having similar color preferences with respect to the first user may be facilitated. A social networking recommendation may be generated with respect to the one or more other users having similar color preferences with respect to the first user.

Abstract: Systems and methods are described that recommend images, items, and/or metadata based at least in part on a reference color palette or reference color name. A color name can be converted into a representation of the color name in a color space. The reference color can be used to identify images that contain the reference color. The identified images and associated metadata can be analyzed, sorted and provided as an ordered list of items. Systems and methods are also described that identify items that contain colors affiliated with the reference color. Systems and methods are also described that validate color identifier information in metadata associated with an image. Systems and methods are also described that identify non-color specific keywords associated with the reference color.

Abstract: Systems and methods are provided for generating color names for colors corresponding to images and/or palettes. A color image is obtained, and one or more color palettes corresponding to the color image are identified. The color palette may be generated based on palette generation criteria, which may facilitate or control a palette generation process. Illustratively, the palette generation process may include image pre-processing, color distribution generation, representative color identification, palette candidate generation, and palette determination. A color name for each color identified in the color palette and/or the color image can be identified based at least in part on color name popularity information. Color name popularity information may be identified from color name-related voting results provided by a social network site.