Abstract: Three-dimensional models (or avatars) may be defined based on imaging data captured from a customer. The avatars may be based on a virtual mannequin having one or more dimensions in common with the customer, a body template corresponding to the customer, or imaging data captured from the customer. The avatars are displayed on displays or in user interfaces and used for any purpose, such as to depict how clothing will appear or behave while being worn by a customer alone or with other clothing. Customers may drag-and-drop images of clothing onto the avatars. One or more of the avatars may be displayed on any display, such as a monitor or a virtual reality headset, which may depict the avatars in a static or dynamic mode. Images of avatars and clothing may be used to generate print catalogs depicting the appearance or behavior of the clothing while worn by the customer.

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 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 system uses a trained classifier to identify or predict the item attributes of an item depicted in an image, and compares these attributes to those specified in a corresponding item description. The system may, for example, be used to verify the accuracy of listings submitted by users to an electronic catalog. For example, if an item description submitted by a user does not specify all of the item attributes identified from the item image(s) submitted by the user, the system may generate a suggested edit to the item description.

Abstract: Features are provided for the distributed moderation of content annotations and the dynamic display of the moderated annotations. The annotations can be selectively distributed to subsets of user devices currently viewing a content item, thereby limiting the number of annotations that each user device receives. By selectively distributing only subsets of new annotations, users can give more attention to individual annotations and provide meaningful moderation information (e.g., ratings, “likes,” responses, etc.) regarding individual annotations. The annotations can be displayed in a manner that emphasizes the more highly-rated annotations and/or commonly-submitted annotations over other annotations. The annotations can also be displayed in a manner that provides visual cues regarding the sources of individual annotations.

Abstract: Techniques for improving access to and interactions with bots are described. In an example, a first bot, hosted on a computing system, may identify an action to be performed for a user associated with a computing device. The action may be identified based on a user interaction with the first bot, where the user interaction may be provided from the computing device. The first bot may select a second bot based on the action. The second bot may be hosted on a same or a different computing system. The first bot may determine, based on a previous user input to the first bot, a parameter value for an execution of the action and may send the parameter value to the second bot. In response, the first bot may receive a result of an execution of the action and may provide information about the result to the computing device.

Abstract: Three-dimensional models (or avatars) may be defined based on imaging data captured from a customer. The avatars may be based on a virtual mannequin having one or more dimensions in common with the customer, a body template corresponding to the customer, or imaging data captured from the customer. The avatars are displayed on displays or in user interfaces and used for any purpose, such as to depict how clothing will appear or behave while being worn by a customer alone or with other clothing. Customers may drag-and-drop images of clothing onto the avatars. One or more of the avatars may be displayed on any display, such as a monitor or a virtual reality headset, which may depict the avatars in a static or dynamic mode. Images of avatars and clothing may be used to generate print catalogs depicting the appearance or behavior of the clothing while worn by the customer.

Abstract: Three-dimensional models (or avatars) may be defined based on imaging data captured from a customer. The avatars may be based on a virtual mannequin having one or more dimensions in common with the customer, a body template corresponding to the customer, or imaging data captured from the customer. The avatars are displayed on displays or in user interfaces and used for any purpose, such as to depict how clothing will appear or behave while being worn by a customer alone or with other clothing. Customers may drag-and-drop images of clothing onto the avatars. One or more of the avatars may be displayed on any display, such as a monitor or a virtual reality headset, which may depict the avatars in a static or dynamic mode. Images of avatars and clothing may be used to generate print catalogs depicting the appearance or behavior of the clothing while worn by the customer.

Abstract: Techniques described herein include systems and methods for transforming communications and content from one communication platform to another communication platform such that content can be shared between users utilizing different user devices. In some embodiments, a communication session may be maintained between one or more users where each user is utilizing a different user device. First input may be received from a first communication platform from a first user that is intended to be shared to the one or more users in the communication session. In embodiments, a corresponding communication platform for each user participating in the communication session may be determined based on device information provided by associated user devices of the user when providing previous communications with the communication session and content included in the first input. The first input may be transformed from the first communication platform to one or more different communication platforms.

Abstract: Systems and methods are described that facilitate searches based at least in part on a color name. Given a reference color name, one or more additional color names that are associated with the reference color name can be identified. Colors corresponding to these color names can be determined, which in turn serve as basis for determining one or more search colors for the reference color name in a search context. The system may further identify images that contain the determined search colors. The identified images and associated metadata can be analyzed, sorted and provided as a list of items.

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 described that validate color information in metadata associated with an image. Color information associated with images, in metadata, may need to be validated because there may be mistakes in the metadata. Color names associated with colors may be based on human generated data or human surveys. Individual colors may be extracted from images, which may be associated with the color names. Furthermore, the color names may be retrieved from a data store via a fast index color search. The color information in the metadata may be validated against the color names.

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: 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: Features are provided for the distributed moderation of content annotations and the dynamic display of the moderated annotations. The annotations can be selectively distributed to subsets of user devices currently viewing a content item, thereby limiting the number of annotations that each user device receives. By selectively distributing only subsets of new annotations, users can give more attention to individual annotations and provide meaningful moderation information (e.g., ratings, “likes,” responses, etc.) regarding individual annotations. The annotations can be displayed in a manner that emphasizes the more highly-rated annotations and/or commonly-submitted annotations over other annotations. The annotations can also be displayed in a manner that provides visual cues regarding the sources of individual annotations.

Abstract: Systems and methods are provided for generating a perspective view of item images and/or determining collections of similar items. For example, a set and/or collection of item images may be presented in a perspective view. One or more options may be selected by a user to update the set and/or collection of items and/or images. An updated set and/or collection may be determined, for example, by clustering the items and/or comparing items with the base item. One or more dimensions and/or attributes may be used to cluster and/or graph the items to determine new collections of items.

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: Features are provided for the distributed moderation of content annotations and the dynamic display of the moderated annotations. The annotations can be selectively distributed to subsets of user devices currently viewing a content item, thereby limiting the number of annotations that each user device receives. By selectively distributing only subsets of new annotations, users can give more attention to individual annotations and provide meaningful moderation information (e.g., ratings, “likes,” responses, etc.) regarding individual annotations. The annotations can be displayed in a manner that emphasizes the more highly-rated annotations and/or commonly-submitted annotations over other annotations. The annotations can also be displayed in a manner that provides visual cues regarding the sources of individual annotations.