Abstract: Techniques for designing an awareness engine that organizes and serves popularly discussed and viral online content in response to user search queries. In an aspect, quality online content is identified by analyzing posts by users of a social network over specific time periods. For each item of quality online content identified, a virality score is calculated, and a social signature is constructed. The social signature can be constructed from the content itself, as well as from posts referencing the content. Based on this processing, relevant quality online content having the highest virality scores may be retrieved and served in response to user queries. Further techniques are provided for designing a user interface for the awareness engine.

Abstract: Architecture that enables the identification of entities such as people and content in live broadcasts (e.g., streaming content (e.g., video) of live events) and non-live presentations (e.g., movies), in realtime, using recognition processes. This can be accomplished by extracting live data related to a live event. With respect to people entities, filtering can be performed to identify the named (people) entities from the extracted live data, and trending topics discovered as relate to the named entities, as associated with the live event. Multiple images of the named entities that capture the named entities under different conditions are captured for the named entities. The images are then processed to extract and learn facial features (train one or more models), and facial recognition is then performed on faces in the video using the trained model(s).

Abstract: A system for retrieving information can include a processor that can identify a topic of information in a data repository as a polarized topic based on a degree of conflict related to the topic. The processor can also detect a plurality of views corresponding to the polarized topic based in part on a temporal relationship to an event, independent of a frequency of occurrence of the plurality of views. Furthermore, the processor can generate a user interface based on an organization of the plurality of views corresponding to the polarized topic, the user interface being organized to show multiple perspectives on the polarized topic by including at least one of the plurality of views independent of the frequency of occurrence.

Abstract: Described herein are technologies relating to generating search results responsive to receipt of a query. More specifically, the query is mapped to a topic in response to receipt of a query, and social media accounts that have been labeled as being knowledgeable on the topic are identified. Messages in a message feed of the social media account that are germane to the topic are retrieved, and documents referenced (linked) in the retrieved messages are identified. These documents are positioned in a ranked list based upon the documents being referenced in the messages.

Abstract: Systems and methods for generating a social sketch from social communications are provided. Unlike a typical summary of a subject (or of multiple subjects), a social sketch represents a “snapshot” summary of the social communications of people during a given period of time. The social sketch is generated by obtaining a corpus of social communications and filtering the social communications according to time. The filtered results are clustered according to the subject matter/topics of the social communications. Selected clusters are identified and the topic, representative high-quality social communications from non-experts and experts are extracted from each of the selected clusters and saved as a social sketch corresponding to the time period.

Abstract: Non-limiting examples of the present disclosure describe utilization of a social graph, created from evaluation of extracted social media data, to generate temporal snapshots related to social media data. The temporal snapshots enable users to explore different levels of interest related to social media data. In one example, a social media identifier is identified. A social graph may be accessed to evaluate the social media identifier. An exemplary social graph includes clustered relationships developed based on analysis of social media data extracted from at least one social networking service. The social graph may be used to generate a temporal snapshot for the social media identifier. The temporal snapshot may be transmitted to an entry point for output of the temporal snapshot. Other examples are also described including navigation between content of temporal snapshots based on selection of linked data, among other examples.

Abstract: Surfacing relevant socially trending informational items in response to an exploratory query is provided. A temporally relevant social data search system includes an intelligent assistant, a knowledgebase generation system, and a temporal graph knowledgebase. The knowledgebase generation system builds the temporal graph knowledgebase from entities and relationships detected in social data mined from a plurality of social networking data sources. Responsive to receiving an exploratory query associated with one or more entities, the intelligent assistant queries the temporal graph knowledgebase for information items related to the one or more entities, selects a relevant information item to include in a response, and provides the response to the user.

Abstract: One or more systems and/or techniques are provided for automatic closed captioning for media content. In an example, real-time content, occurring within a threshold timespan of a broadcast of media content (e.g., social network posts occurring during and an hour before a live broadcast of an interview), may be accessed. A list of named entities, occurring within the social network data, may be generated (e.g., Interviewer Jon, Interviewee Kathy, Husband Dave, Son Jack, etc.). A ranked list of named entities may be created based upon trending named entities within the list of named entities (e.g., a named entity may be ranked higher based upon a more frequent occurrence within the social network posts). A dynamic grammar (e.g., library, etc.) may be built based upon the ranked list of named entities. Speech recognition may be performed upon the broadcast of media content utilizing the dynamic grammar to create closed caption text.

Abstract: Representative embodiments disclose mechanisms to compile documents into a timeline document that tracks the evolution of a topic over time. Social media documents can be used to identify importance or popularity of linked documents (i.e., documents shared by social media in a post, tweet, etc.). A collection of social media documents is analyzed and used to identify a series of n-grams and a ranked list of linked documents. A subset of the ranked list is selected based upon similarity to the series of n-grams. The subset is then summarized and captured, along with underlying supporting data, into an entry of a timeline document. Related entries in different timeline documents can be linked to create a pivot point that allows a user to jump from one timeline to another. Timeline documents can be made available as part of a search performed by a query system.

Abstract: Disclosed herein are devices and methods to determine a gaze associated with an eye. At least one infrared beam may be reflected off of the eye. The reflected infrared beam may be received and reflected from a projection surface that includes one or more layers that reflects infrared light. The projection surface may include a holographic optical element (HOE) that reflects the infrared light. The infrared beam reflected from the projection surface may be received by an infrared light beam receiver. A light intensity associated with the reflected infrared beam may be used to control one or more functionality associated with a projection system.

Abstract: Disclosed herein are devices and methods to ascertain, by way of a system, a change in eye focus from a first focus plane to a second focus plane. For example, the first focus plane of the eye may be infinity and the second focus plane of the eye may be less than infinity. The system may generate at least one light beam to accommodate the change in eye focus from the first focus plane to the second focus plane. In one example, the generated at least one light beam has an alignment, wavelength and/or modulation that is different than an alignment, wavelength and/or modulation of a prior light beam. The system may project a pixel on the eye using the at least one light beam.

Abstract: Disclosed herein are devices and methods to provide a holographic optical element (HOE) having a modified shape and a structural attribute. At least one wavefront may be used to cause a first structure change in a material, used for the HOE, in a first shape. The material used for the HOE may be changed from the first shape to the modified shape to cause a second structure change in the material. The structural attribute in the material may be provided from a combination of the first structure change and the second structure change.

Abstract: A method for displaying an image viewable by an eye, the image being projected from a portable head worn display, comprises steps of: emitting a plurality of light beams of wavelengths that differ amongst the light beams; directing the plurality of light beams to a scanning mirror; modulating in intensity each one of the plurality of light beams in accordance with intensity information provided from the image, whereby the intensity is representative of a pixel value within the image; scanning the plurality of light beams in two distinct axes with the scanning mirror to form the image; and redirecting the plurality of light beams to the eye using a holographic optical element acting as a reflector of the light beams, whereby the redirecting is dependent on the wavelength of the light beam, to create for each light beam an exit pupil at the eye that is spatially separated from the exit pupils of the other light beams.

Abstract: A method for displaying an image viewable by an eye, the image being projected from a portable head worn display, comprises steps of: emitting a plurality of light beams of wavelengths that differ amongst the light beams; directing the plurality of light beams to a scanning mirror; modulating in intensity each one of the plurality of light beams in accordance with intensity information provided from the image, whereby the intensity is representative of a pixel value within the image; scanning the plurality of light beams in two distinct axes with the scanning mirror to form the image; and redirecting the plurality of light beams to the eye using a holographic optical element acting as a reflector of the light beams, whereby the redirecting is dependent on the wavelength of the light beam, to create for each light beam an exit pupil at the eye that is spatially separated from the exit pupils of the other light beams.

Abstract: Techniques for designing an awareness engine that organizes and serves popularly discussed and viral online content in response to user search queries. In an aspect, quality online content is identified by analyzing posts by users of a social network over specific time periods. For each item of quality online content identified, a virality score is calculated, and a social signature is constructed. The social signature can be constructed from the content itself, as well as from posts referencing the content. Based on this processing, relevant quality online content having the highest virality scores may be retrieved and served in response to user queries. Further techniques are provided for designing a user interface for the awareness engine.

Abstract: Non-limiting examples of the present disclosure describe utilization of a social graph, created from evaluation of extracted social media data, to generate temporal snapshots related to social media data. The temporal snapshots enable users to explore different levels of interest related to social media data. In one example, a social media identifier is identified. A social graph may be accessed to evaluate the social media identifier. An exemplary social graph includes clustered relationships developed based on analysis of social media data extracted from at least one social networking service. The social graph may be used to generate a temporal snapshot for the social media identifier. The temporal snapshot may be transmitted to an entry point for output of the temporal snapshot. Other examples are also described including navigation between content of temporal snapshots based on selection of linked data, among other examples.

Abstract: Aspects of the technology described herein generate a comment-summary interface that can help a user find comments of interest to the user. The comment-summary interface allows a user to access comments according to topics instead of scrolling through all of the comments found in a comment section associated with a primary content, such as a news article on a website, a social post, product review, and such. Categorizing the comments into topics makes more efficient use of computer resources by avoiding the need to display comments that are not of interest to the user. The plurality of comments analyzed by aspects of the technology described herein are unstructured comments. Unstructured comments lack specific subject matter categories designated by a user or preselected by a webpage.

Abstract: Architecture that enables the identification of entities such as people and content in live broadcasts (e.g., streaming content (e.g., video) of live events) and non-live presentations (e.g., movies), in realtime, using recognition processes. This can be accomplished by extracting live data related to a live event. With respect to people entities, filtering can be performed to identify the named (people) entities from the extracted live data, and trending topics discovered as relate to the named entities, as associated with the live event. Multiple images of the named entities that capture the named entities under different conditions are captured for the named entities. The images are then processed to extract and learn facial features (train one or more models), and facial recognition is then performed on faces in the video using the trained model(s).

Abstract: A head worn display (HWD) includes a projection system, which projection system in turn may include: a projection surface including a holographic optical element (HOE) centered at a first location; a projector to project light onto a projection area of the projection surface; and a controller to send a control signal to the projector to cause the projector to project an image onto a location shifted from the first location based on a misalignment of a user's line of sight with the first location.

Abstract: Architecture that enables the identification of entities such as people and content in live broadcasts (e.g., streaming content (e.g., video) of live events) and non-live presentations (e.g., movies), in realtime, using recognition processes. This can be accomplished by extracting live data related to a live event. With respect to people entities, filtering can be performed to identify the named (people) entities from the extracted live data, and trending topics discovered as relate to the named entities, as associated with the live event. Multiple images of the named entities that capture the named entities under different conditions are captured for the named entities. The images are then processed to extract and learn facial features (train one or more models), and facial recognition is then performed on faces in the video using the trained model(s).