Evernote Corporation

Bending Spoons S.p.a.

Daniel Nicolae

Ruben Bakker

Jeffrey A Shotts

Alexander Pashintsev

Boris Gorbatov

Eugene Livshitz

Vitaly Glazkov

Ilya Buryak

Dylan Marriott

Zdzislaw Pawel Losvik

Vitaly Glaskov

This application is directed to a method for automatically identifying and transferring relevant image data. The method includes obtaining a plurality of content items from a personal content collection and determining attributes based on the plurality of content items. The method includes generating a plurality of relevance rules. The method further includes obtaining unclassified content items and determining for a first unclassified content item a plurality of aggregate relevance scores using the plurality of relevance rules. The method include determining whether a first aggregate relevance score and/or a second aggregate relevance score satisfy threshold score. The method includes, in accordance with a determination that the first aggregate relevance score and the second aggregate relevance score do not satisfy the threshold score, forgoing determining the attributes corresponding to the first unclassified content item, and storing the first unclassified content item in a candidate list of the personal content collection.

Automatic detection and transfer of relevant image data to content collections

A digital content clipping system receives an indication that a first web page has been accessed by a first user, and searches a repository of digital content clips associated with the first web page. In accordance with a determination that the repository does not include any user-generated digital content clips associated with the first web page, the system offers one or more first clipping options based on predefined clip templates, receives selection, by the first user, of one of the first clipping options, extracts a digital content clip of the first web page in accordance with the selected one of the first clipping options, and stores the digital content clip of the first web page in a first clip collection associated with the first web page.

Shared user driven clipping of multiple web pages

A digital content clipping system receives an indication that a first web page has been accessed by a first user, and determines that the first web page has a first content type that is selected from a plurality of content types. While the first web page is being accessed by the first user, the digital content clipping system provides the user with a plurality of clipping options based on the first content type.

User driven clipping based on content type

This application is directed to a method for automatically identifying and transferring relevant image data implemented at a server with a processor and memory including one or programs executable by the processor. The server obtains content items from a personal content collection of a user, analyzes the content items to identify attributes associated with the images, generates rule sets based on the identified attributes, applies the generated rule sets to a plurality of unclassified images, identifies a first set of one or more of the unclassified images, associates each image of the first set with the content items and stores the first set in the personal content collection. A second set of unclassified images is placed in a candidate list to be periodically, without user intervention, monitored and updated for storing in the personal content collection. The generated rule sets are updated after images are stored in the content collection.

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Berlin, Germany

Daniel Nicolae