Abstract: Described herein is a delivery robot that can be programmed to travel from one location to another in open spaces that have few restrictions on the robot's path of travel. The delivery robot may operate in an autonomous mode, a remote controlled mode, or a combination thereof. The delivery robot can include a cargo area for transporting physical items. The robot can include exterior display devices and/or lighting devices to convey information to people that the robot may be encountering, including indications of the robot's direction of travel, current status, and/or other information.

Abstract: The display of images, such as panoramic images, in a limited display space can be aided through the use of motion-based control, whereby a user can rotate and/or translate a computing device in order to view different portions of the image, including translating or zooming within the image. Sensors can be used to determine the motion for adjusting the display. The same or other sensors can also assist a user in capturing such an image. For example, a compass can determine the relative orientation of the device and a gyroscope can determine rotation of the device, to determine an appropriate path of motion for the capture and any deviation from that path. The user can be provided with information enabling the user to follow the path with an appropriate device orientation.

Abstract: Processes are disclosed for generating share recommendations for sharing content based at least in part on associated metadata of the content (e.g., geo-location of the content, the date/time of the content, subject matter of the content, etc.). A quick share system may track an individual's share history, including people with whom the individual has shared content, the date/time the content was shared, the geo-location of the individual when the content was shared, etc. Share recommendations indicating one or more suggested people with whom the individual may wish to share content may be generated for the individual, based at least in part on some of a current time/date, the individual's current location, the content metadata, the individual's share history. Share recommendations may also be based in part on an event associated with the content, user feedback data for shared content, and content analysis such as image analysis for digital images.

Abstract: Processes are disclosed for generating share recommendations for sharing content based at least in part on associated metadata of the content (e.g., geo-location of the content, the date/time of the content, subject matter of the content, etc.). A quick share system may track an individual's share history, including people with whom the individual has shared content, the date/time the content was shared, the geo-location of the individual when the content was shared, etc. Share recommendations indicating one or more suggested people with whom the individual may wish to share content may be generated for the individual, based at least in part on some of a current time/date, the individual's current location, the content metadata, the individual's share history. Share recommendations may also be based in part on an event associated with the content, user feedback data for shared content, and content analysis such as image analysis for digital images.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: Processes are disclosed for generating share recommendations for sharing content based at least in part on associated metadata of the content (e.g., geo-location of the content, the date/time of the content, subject matter of the content, etc.). A quick share system may track an individual's share history, including people with whom the individual has shared content, the date/time the content was shared, the geo-location of the individual when the content was shared, etc. Share recommendations indicating one or more suggested people with whom the individual may wish to share content may be generated for the individual, based at least in part on some of a current time/date, the individual's current location, the content metadata, the individual's share history. Share recommendations may also be based in part on an event associated with the content, user feedback data for shared content, and content analysis such as image analysis for digital images.

Abstract: The display of images, such as lenticular images, in a limited display space can be aided through the use of motion-based control, whereby a user can rotate and/or translate a computing device in order to cause different views of a lenticular image to be displayed. Sensors can be used to determine the motion in order to select the appropriate view to display. Approaches can further assist the user in creating lenticular images. The user can specify various configurations in which to display different views in a lenticular. If the user is capturing the images, one or more previously-acquired images can be used as a guide to help the user to align the images. Various processing can be performed to cause the individual views of the lenticular to match as closely as possible in factors such as alignment, brightness, and color range, among other such options.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: The display of images, such as panoramic images, in a limited display space can be aided through the use of motion-based control, whereby a user can rotate and/or translate a computing device in order to view different portions of the image, including translating or zooming within the image. Sensors can be used to determine the motion for adjusting the display. The same or other sensors can also assist a user in capturing such an image. For example, a compass can determine the relative orientation of the device and a gyroscope can determine rotation of the device, to determine an appropriate path of motion for the capture and any deviation from that path. The user can be provided with information enabling the user to follow the path with an appropriate device orientation.

Abstract: The display of images, such as lenticular images, in a limited display space can be aided through the use of motion-based control, whereby a user can rotate and/or translate a computing device in order to cause different views of a lenticular image to be displayed. Sensors can be used to determine the motion in order to select the appropriate view to display. Approaches can further assist the user in creating lenticular images. The user can specify various configurations in which to display different views in a lenticular. If the user is capturing the images, one or more previously-acquired images can be used as a guide to help the user to align the images. Various processing can be performed to cause the individual views of the lenticular to match as closely as possible in factors such as alignment, brightness, and color range, among other such options.

Abstract: The display of images, such as lenticular images, in a limited display space can be aided through the use of motion-based control, whereby a user can rotate and/or translate a computing device in order to cause different views of a lenticular image to be displayed. Sensors can be used to determine the motion in order to select the appropriate view to display. Approaches can further assist the user in creating lenticular images. The user can specify various configurations in which to display different views in a lenticular. If the user is capturing the images, one or more previously-acquired images can be used as a guide to help the user to align the images. Various processing can be performed to cause the individual views of the lenticular to match as closely as possible in factors such as alignment, brightness, and color range, among other such options.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: One or more server devices receive a request associated with a link, where the link is further associated with a comment and where the comment provides an opinion of, or remarks upon, a content of a document. The one or more server devices retrieve a content of the comment associated with the link from a database and retrieve the document. The one or more server devices generate another document that displays the content of the comment and includes a frame that further displays the document, and send the generated another document to the client device.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.

Abstract: A system may receive a request for comments associated with a particular document, identify a comment associated with the particular document, generate an objective score for the comment that is independent of a user associated with the request, identify the user associated with the request, generate a subjective score for the comment based on parameters associated with the identified user, generate a combined score for the comment by combining the objective score and the subjective score, and provide the comment, ranked based on the combined score, to the user for presentation with the particular document.