Abstract: Embodiments relate to leveraging automated image understanding to foster user engagement with an image. An image viewer application is provided with image analysis algorithms that determine features of an image by identifying objects in the image, recognizing faces in the image, etc. Hotspots may be added to the display of the image at locations of the features. Contextual metadata such as data about a user, user activity, other images, etc. can be used to determine which features will be provided with hotspots and what information will be associated with the hotspots. In one embodiment, the information associated with a hotspot is another image, and interactive selection of the hotspot causes the image to be both displayed and processed for hotspot augmentation. Tools may be provided to modify or edit the image based on the features found via the image analysis.

Abstract: Systems and methods for selecting representative photos for a photo album are described. An example computing device may include a display, a logic device, and a storage device storing instructions executable by the logic device to, for each known individual recognized in one or more photos of the album, determine an affinity score for that known individual indicating a connection of that known individual to a) a user of the computing device and b) a context corresponding to the album. The instructions may be further executable to select one or more known individuals based on the affinity score to be included in a subset of the known individuals recognized in one or more photos of the album, and select a representative photo of each of the subset of the known individuals to be included in one or more of a highlight photoset and a cover photo for the album.

Abstract: Embodiments relate to leveraging automated image understanding to foster user engagement with an image. An image viewer application is provided with image analysis algorithms that determine features of an image by identifying objects in the image, recognizing faces in the image, etc. Hotspots may be added to the display of the image at locations of the features. Contextual metadata such as data about a user, user activity, other images, etc. can be used to determine which features will be provided with hotspots and what information will be associated with the hotspots. In one embodiment, the information associated with a hotspot is another image, and interactive selection of the hotspot causes the image to be both displayed and processed for hotspot augmentation. Tools may be provided to modify or edit the image based on the features found via the image analysis.

Abstract: Systems and methods for selecting representative photos for a photo album are described. An example computing device may include a display, a logic device, and a storage device storing instructions executable by the logic device to, for each known individual recognized in one or more photos of the album, determine an affinity score for that known individual indicating a connection of that known individual to a) a user of the computing device and b) a context corresponding to the album. The instructions may be further executable to select one or more known individuals based on the affinity score to be included in a subset of the known individuals recognized in one or more photos of the album, and select a representative photo of each of the subset of the known individuals to be included in one or more of a highlight photoset and a cover photo for the album.

Abstract: Systems and methods for selecting representative photos for a photo album are described. An example computing device may include a display, a logic device, and a storage device storing instructions executable by the logic device to, for each known individual recognized in one or more photos of the album, determine an affinity score for that known individual indicating a connection of that known individual to a) a user of the computing device and b) a context corresponding to the album. The instructions may be further executable to select one or more known individuals based on the affinity score to be included in a subset of the known individuals recognized in one or more photos of the album, and select a representative photo of each of the subset of the known individuals to be included in one or more of a highlight photoset and a cover photo for the album.

Abstract: Systems and methods for selecting representative photos for a photo album are described. An example computing device may include a display, a logic device, and a storage device storing instructions executable by the logic device to, for each known individual recognized in one or more photos of the album, determine an affinity score for that known individual indicating a connection of that known individual to a) a user of the computing device and b) a context corresponding to the album. The instructions may be further executable to select one or more known individuals based on the affinity score to be included in a subset of the known individuals recognized in one or more photos of the album, and select a representative photo of each of the subset of the known individuals to be included in one or more of a highlight photoset and a cover photo for the album.

Abstract: Systems and methods are presented to respond to a search query that is determined to be a single entity intent search query, i.e., the intent of the requesting computer user is information regarding a single entity. Upon receiving the search query, search results relevant to the query are identified, where each of the search results are scored according to their relevancy to the received search query. An evaluation is made as to whether the search query is a single entity intent search query. Upon determining that the search query has a single entity intent, the obtained search results are truncated to the most relevant search result, and a search results page corresponding to the most relevant search result is generated and returned to the requesting computer user.

Abstract: Methods, computer systems, and computer-readable storage media for utilizing breadcrumb information associated with a Web page to improve a user's search experience on a search engine page and to improve ranking of search results are provided. Breadcrumb information is identified for a plurality of Web pages and is used to create an entity data structure. The entity data structure is used to determine related search items, deep links, and query suggestions on a search engine page. Further, contextual relationships between different breadcrumb elements that are part of a breadcrumb trail associated with a Web page are identified and used to adjust a ranking order of the Web page on a search engine results page.

Abstract: Methods, computer systems, and computer-readable storage media for utilizing breadcrumb information associated with a Web page to improve a user's search experience on a search engine page and to improve ranking of search results are provided. Breadcrumb information is identified for a plurality of Web pages and is used to create an entity data structure. The entity data structure is used to determine related search items, deep links, and query suggestions on a search engine page. Further, contextual relationships between different breadcrumb elements that are part of a breadcrumb trail associated with a Web page are identified and used to adjust a ranking order of the Web page on a search engine results page.