Abstract: One or more embodiments increase the visual appeal and organization of presenting digital content items. In particular, one or more embodiments improve the visual appeal of a presentation of digital content items by emphasizing one or more digital content items within the presentation of digital content items. For instance, one or more digital content items may be emphasized within a graphical user interface including a gallery of digital content items. The emphasized digital content items can be selected based on a score reflecting a particular characteristic of the digital content item and/or a metric of user interest in the digital content item. Digital content items with relatively high scores as compared to other digital content items may be emphasized when presented in conjunction with the other digital content items.

Abstract: Embodiments of the present invention analyze and score each image associated with a group to determine representative image or images for the group. Such analysis can include detecting objects shown in the images, determining the quality of the images, and/or contextually analyzing the images as a group. In some embodiments, each image in a group (e.g., an event) of images can be analyzed by one or more image analysis modules that calculate a score for the image based on a different image characteristic. A composite image score can then be calculated based on the various image characteristic scores to identify the image or images to be used as to represent the group.

Abstract: One or more embodiments increase the visual appeal and organization of presenting digital content items. In particular, one or more embodiments improve the visual appeal of a presentation of digital content items by emphasizing one or more digital content items within the presentation of digital content items. For instance, one or more digital content items may be emphasized within a graphical user interface including a gallery of digital content items. The emphasized digital content items can be selected based on a score reflecting a particular characteristic of the digital content item and/or a metric of user interest in the digital content item. Digital content items with relatively high scores as compared to other digital content items may be emphasized when presented in conjunction with the other digital content items.

Abstract: One or more embodiments increase the visual appeal and organization of presenting digital content items. In particular, one or more embodiments improve the visual appeal of a presentation of digital content items by emphasizing one or more digital content items within the presentation of digital content items. For instance, one or more digital content items may be emphasized within a graphical user interface including a gallery of digital content items. The emphasized digital content items can be selected based on a score reflecting a particular characteristic of the digital content item and/or a metric of user interest in the digital content item. Digital content items with relatively high scores as compared to other digital content items may be emphasized when presented in conjunction with the other digital content items.

Abstract: Embodiments of the present invention analyze and score each image associated with a group to determine representative image or images for the group. Such analysis can include detecting objects shown in the images, determining the quality of the images, and/or contextually analyzing the images as a group. In some embodiments, each image in a group (e.g., an event) of images can be analyzed by one or more image analysis modules that calculate a score for the image based on a different image characteristic. A composite image score can then be calculated based on the various image characteristic scores to identify the image or images to be used as to represent the group.

Abstract: Embodiments of the present invention analyze and score each image associated with a group to determine representative image or images for the group. Such analysis can include detecting objects shown in the images, determining the quality of the images, and/or contextually analyzing the images as a group. In some embodiments, each image in a group (e.g., an event) of images can be analyzed by one or more image analysis modules that calculate a score for the image based on a different image characteristic. A composite image score can then be calculated based on the various image characteristic scores to identify the image or images to be used as to represent the group.

Abstract: Embodiments are provided for content item classification. In some embodiments, an image for classification is received, a compact representation for the image having values indicative of pixel values within the received image is generated, a plurality of angle measurements for possible edges of at least one potential document within the received image are determined, and the image is classified using said compact representation and said plurality of angle measurements.

Abstract: Various embodiments of the disclosed technology can obtain information about associations between users (e.g., user accounts) of a content management system and applications compatible with the content management system. Various embodiments can also obtain information about a plurality of attributes associated with usage of the content management system by the users (e.g., user accounts). In some embodiments, the attributes can include a device property, a usage pattern, an account property, a content item property, a profile property, a preference property, or a domain property. Moreover, data about social connections of the users (e.g., user accounts) can also be obtained. Based, at least in part, on at least one of the information about the associations, the information about the plurality of attributes, or the data about the social connections, one or more applications can be recommended to a selected user (e.g., a selected user account).

Abstract: Embodiments of the present invention analyze and score each image associated with a group to determine representative image or images for the group. Such analysis can include detecting objects shown in the images, determining the quality of the images, and/or contextually analyzing the images as a group. In some embodiments, each image in a group (e.g., an event) of images can be analyzed by one or more image analysis modules that calculate a score for the image based on a different image characteristic. A composite image score can then be calculated based on the various image characteristic scores to identify the image or images to be used as to represent the group.

Abstract: One or more embodiments increase the visual appeal and organization of presenting digital content items. In particular, one or more embodiments improve the visual appeal of a presentation of digital content items by emphasizing one or more digital content items within the presentation of digital content items. For instance, one or more digital content items may be emphasized within a graphical user interface including a gallery of digital content items. The emphasized digital content items can be selected based on a score reflecting a particular characteristic of the digital content item and/or a metric of user interest in the digital content item. Digital content items with relatively high scores as compared to other digital content items may be emphasized when presented in conjunction with the other digital content items.

Abstract: Aspects of the disclosure pertain to identifying whether or not an image from a user's device is of a place or not. As part of the identification, a training procedure may be performed on a set of training images. The training procedure includes performing measurements of image data for each image in the set to derive a result. The result includes a series of variables for each training image in the set. The series of variable is evaluated for each training image to obtain one or more measurement weights and one or more measurement thresholds. These weights and thresholds are adjusted to set a false positive threshold and a false negative threshold for identifying whether an actual image is of a place type or is some other type of image.

Abstract: Aspects of the invention pertain to identifying whether or not an image from a user's device is of a place. Before undertaking time and resource consuming analysis of an image using specialized image analysis modules, pre-filtering classification is conducted based on image data and metadata associated with the image. The metadata may include geolocation information. One classification procedure analyzes the metadata to perform a high level determination as to whether the image is of a place. If the results indicate that it is of a place, then a further classification procedure may be performed, where the image information is analyzed, with or without the metadata. This process may be done concurrently with a place match filtering procedure. The results of the further classification will either find a match with a given place or not. The output is a place match either with or without geolocation information.

Abstract: Aspects of the invention pertain to identifying whether or not an image from a user's device is of a place. Before undertaking time and resource consuming analysis of an image using specialized image analysis modules, pre-filtering classification is conducted based on image data and metadata associated with the image. The metadata may include geolocation information. One classification procedure analyzes the metadata to perform a high level determination as to whether the image is of a place. If the results indicate that it is of a place, then a further classification procedure may be performed, where the image information is analyzed, with or without the metadata. This process may be done concurrently with a place match filtering procedure. The results of the further classification will either find a match with a given place or not. The output is a place match either with or without geolocation information.