Dropbox, Inc.

Boris Babenko

Brian E Smith

Ramesh Balakrishnan

Nils Peter Welinder

George Milton Underwood, Iv

Christopher Lee

Emil Ibrishimov

Peter Welinder

Dimitar Simeonov

Tej Chajed

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.

Selectively emphasizing digital content

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.

Event-based image classification and scoring

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.

Scanbox

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).

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San Mateo, CA, United States of America

Boris Babenko