Abstract: Multimodal multilabel tagging of video content may include labeling the video content with topical tags that are identified based on extracted features from two or more modalities of the video content. The two or more modalities may include (i) a video modality for the object, images, and/or visual elements of the video content, (ii) a text modality for the speech, dialog, and/or text of the video content, and/or (iii) an audio modality for non-speech sounds and/or sound characteristics of the video content. Combinational multimodal multilabel tagging may include combining two or more features from the same or different modality in order to increase the contextual understanding of the features and generate contextually relevant tags. Video content may be labeled with global tags relating to overall topics of the video content, and different sets of local tags relating to topics at different segments of the video content.

Abstract: Systems and methods of natural language processing in an environment with no existing corpus are disclosed. The method includes defining an input grammar specific to a chosen domain, the input grammar having a domain specific knowledge and general grammatical knowledge. Groups of tokens are identified within the input grammar having syntactic and semantic equivalence. The identified groups are assembled into hypernyms, wherein the hypernyms include a semantic output for each token in the hypernyms. A list of fields is then combined with the hypernyms for combination with the hypernyms. A corpus of possible combinations of hypernyms and fields is created. A data structure mapping each possible combination to a partial semantic output is generated and the data structure is saved for use in later processing.

Abstract: Methods and apparatus for using features of images representing content items to improve the presentation of the content items are disclosed. In one embodiment, a plurality of digital images are obtained, where each of the images represents a corresponding one of a plurality of content items. Image features of each of the digital images are determined. Additional features including at least one of user features pertaining to a user of a client device or contextual features pertaining to the client device are ascertained. At least a portion of the content items are provided via a network to the client device using features that include or are derived from both the image features of each of the plurality of digital images and the additional features.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed at interpreting a query related to a dataset to reduce ambiguity of the query. In embodiments, a method includes determining potential meanings of words of a natural language query related to a particular dataset. A matching graph can be generated for the words of the query and the potential meanings for the words including similarity scores for the potential meanings. The method further includes reducing ambiguity of the matching graph by assigning selected potential meanings to the words. Upon reducing ambiguity of the matching graph, the matching graph can be used to provide a response to the query. Other embodiments may be described and/or claimed herein.

Abstract: One or more computing devices, systems, and/or methods for publishing message conversations to electronic forums are provided. For example, a message conversation between users may be identified. A request to publish the message conversation to an electronic forum may be received. The message conversation may be processed to create a first conversation summary of the message conversation. The message conversation may be evaluated to create a title. A forum discussion comprising the title and a first post of the first conversation summary is created. The forum discussion is published to an electronic forum.

Abstract: Systems and methods are disclosed for determining segments of online users from a correlated dataset. One method includes receiving, over a network, a plurality of datasets including user-related data of a plurality of users, each dataset being transmitted from a data owner; correlating, by at least one processor, the plurality of datasets into a correlated dataset; receiving a segmentation request for determining a plurality of users that qualify for a segment, the segmentation request including a set of segment rules to apply to the correlated dataset; determining, by accessing the correlated dataset, whether each user of the plurality of users qualifies for the segment based on the segment rule; and storing an indication of the segment in the correlated dataset for each user determined to qualify for the segment.

Abstract: One or more computing devices, systems, and/or methods are provided. Activity of one or more client devices may be analyzed to detect one or more sets of network traffic. A set of network traffic may comprise transmission of data by a client device to one or more first hosts and/or reception of data by the client device from one or more second hosts. The one or more sets of network traffic may be analyzed to generate a set of network traffic information associated with a first application. The set of network traffic information may be indicative of a first set of hosts associated with the first application. It may be determined that first network traffic associated with a client device is associated with the first application based upon the first network traffic and the set of network traffic information associated with the first application.

Abstract: Systems and methods are disclosed for performing location-based authentication using location-aware devices. One method includes: receiving an access request comprising authentication credentials and a first location from a first location-aware device; receiving a second location from a second location-aware device associated with the authentication credentials; and upon determining that the first location and second location are within a pre-determined distance, authenticating the authentication credentials.

Abstract: Systems and methods provide for optimizing content delivery in mobile applications. A mobile application executing on a mobile computing device can obtain application interaction data that corresponds to user inputs and sensor data detected by the mobile computing device during execution times of the mobile application. The mobile computing device can send the interaction data to a remote server device that is configured to analyze the data and determine one or more optimal content display factors that are based on identified usage characteristics of the mobile application. The remote server device can then send the determined optimal content display factors back to the mobile computing device, where the timing, sizing, positioning, orientation, and other configurations of third-party content displays are influenced based on this information.

Abstract: The present teaching relates to method, system, medium, and implementations for authenticating a user. An authentication session is first initiated to authenticate, via iris, a person claiming to be an authorized user, in which a first set of signals is randomly generated for controlling light strobing to be applied to the iris of the person for detecting liveness of the iris. A second set of signals is accordingly generated for controlling iris picture capturing synchronized with the light strobing. The light strobing is applied to the person via strobes generated based on the first set of signals and pictures of the iris of the person are acquired, based on the second set of signals, that are synchronized with the light strobing. Whether the person is live is then determined based on the synchronized pictures acquired when the light strobing is applied.

Abstract: Techniques for statistically estimating a rating or other “figure of merit” for a user are disclosed. According to one such technique, a first quantity of submissions that were submitted by a user is determined. A second quantity of submissions that (a) were submitted by the user and (b) obtained a particular rating from a rating mechanism also is determined. A user rating for the user is determined based at least in part on the first quantity, the second quantity, and a factor that is independent of both the first quantity and the second quantity—such as the probability that an answer submitted by any answerer in a population will obtain the particular rating from the rating mechanism. The influence that the second quantity has on the user rating relative to the influence that the factor has on the user rating may depend at least in part on the first quantity.

Abstract: A signature matrix is used to test each online event for inclusion of a user in a pre-generated lookalike audience. Locality Sensitive Hashing is used to compile the signature matrix to dramatically reduce memory storage requirements and processing time for each received online event. A technique of producing incremental signature matrices between generation of the full signature matrix helps to enable near-real time performance in processing each received event to see if a user associated with that event should be added to one of the lookalike audiences pre-generated by advertiser.

Abstract: One or more techniques and/or systems are provided for audio verification. An audio signal, comprising a code for user verification, may be identified. A second audio signal is created comprising speech. The audio signal and the second audio signal may be altered to comprise a same or similar volume, pitch, amplitude, and/or speech rate. The audio signal and the second audio signal may be combined to generate a verification audio signal. The verification audio signal may be presented to a user for the user verification. Verification may be performed to determine whether the user has access to content or a service based upon user input, obtained in response to the user verification audio signal, matching the code within the user verification audio signal. In an example, the user verification may comprise verifying that the user is human.

Abstract: Methods, systems, and computer-readable media for mapping entities to social profile data. Social data regarding an entity (e.g., a notable entity, celebrity, movie, famous brand, etc.) is filtered from one or more open knowledge databases to produce filtered social data regarding the entity (or entities). The filtered social data is clustered and classified with respect to the entity according to a hash function to produce candidate results related to the entity. Ambiguous results are then filtered out from the candidate results, thereby automatically mapping facts contained in one or more of the open knowledge databases to a social profile associated with the entity.

Abstract: One or more computing devices, systems, and/or methods for generating and/or presenting time-lapse videos and/or live-stream videos are provided. For example, a plurality of video frames may be extracted from a video. A first set of video frames and a second set of video frames may be identified from the plurality of video frames. The first set of video frames may be combined to generate a first time-lapse video frame and the second set of video frames may be combined to generate a second time-lapse video frame. A time-lapse video may be generated based upon the first time-lapse video frame and the second time-lapse video frame. In another example, a time-lapse video may be generated based upon a recorded video associated with a live-stream video. The time-lapse video may be presented. Responsive to a completion of the presenting the time-lapse video, the live-stream video may be presented.

Abstract: Disclosed are methods and apparatus for facilitating continuity of experience of a user. A list of user interface object candidates associated with a user identifier may be identified based, at least in part, on states of user interface objects that have previously been presented via one or more client devices associated with the user identifier. The list of user interface object candidates may be prioritized. One or more user interface objects may be provided for display via a client device associated with the user identifier according to a result of the prioritizing.

Abstract: Methods and systems for mapping a plurality of client devices includes identifying a plurality of points distributed in a network space and sorting the points by latitude to generate a first list of points. A cluster window is defined for each point in the first list with a size defined by a clustering distance. The cluster window for a point includes a plurality of other points with a latitude that are within the clustering distance from the point. A density score is computed for each point in the cluster window and a second list is generated in accordance to the computed density score of the points within the cluster window starting with a point with highest density score. A cluster is created for a first point in the second list with the first point as the cluster center and including points that are within a Haversine distance from the cluster center of the cluster.

Abstract: One or more client devices, systems, and/or methods for onboarding feature cues for a product are provided. A feature cue and an existing feature cue, comprising eligible feature cues (e.g., feature cues that a user has not viewed, are relevant to the user, etc.), are provided to a dispatching component (e.g., configured to provide feature cues to users). A presentation hierarchy, of the feature cue and the existing feature cue, is determined based upon feature cue rules and user parameters. The feature cue, having a first hierarchical position in the presentation hierarchy, is presented to the user, through a client device hosting the product, at a first time. The existing feature cue, having a second hierarchical position in the presentation hierarchy, is presented to the user, through the client device, at a second time, where the first time and the second time are determined by the feature cue rules.

Abstract: An approach for performing mobile visual search uses deep variant coding of images to reduce the amount of data transmitted from mobile devices to a search server and to provide more efficient indexing and searching on the search server. The amount of data used to represent an image varies depending upon the content of the image and is less than conventional fixed bit length hashing approaches. Denser regions of a feature space are represented by more encoding bits and sparser regions of the feature space are represented by fewer encoding bits, so that the overall number of encoding bits for an image feature is reduced. The approach generally involves determining a set of hash functions that provide deep hashing with more evenly-distributed hash buckets. One or more additional hash functions may be selectively generated for particular hash buckets that contain more than a specified number of images.

Abstract: Methods, systems, and programming for accessing data are described herein. In a non-limiting embodiment, a request associated with a key may be received. A memory chunk in a first memory site associated with the key may be located. An entry in the memory chunk corresponding to the key may be determined. A first pointer to the key corresponding to a first location of the key within a buffer at a second memory site may be obtained from the entry. The key stored at the first location may be retrieved from the buffer at the second memory site.