Abstract: In embodiments, the present invention provides a method and system for receiving a navigation request from a mobile communication facility, receiving an indicator input, dynamically creating a content based at least in part on an association of the navigation request and the indicator input, and presenting the dynamically created content to the mobile communication facility.

Abstract: A method, a device, and a non-transitory storage medium are described in which an multi-RAT voice management service is provided. The service includes transmitting data to a wireless station that indicates an end device capability for a voice service of a radio access technology of the wireless station. The data may be included in radio access technology frequency selection priority data. When a voice call is initiated, the wireless station may determine whether to invoke an inter-radio access technology fallback procedure based on the received data.

Abstract: Systems and methods to reduce false positives in spam filtering. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing e-mails. Messages flagged as spam can be checked against the profile to identify false positives.

Abstract: A spatialized audio presentation system selects, based on an orientation of an avatar with respect to a virtual sound source, a head-related impulse response from a library of head-related impulse responses corresponding to different potential orientations of the avatar with respect to the virtual sound source. The spatialized audio presentation system applies the selected head-related impulse response to a sound that is generated by the virtual sound source and is to be presented to a user associated with the avatar. Additionally, the spatialized audio presentation system applies an additional effect to the sound that is to be presented to the user. Corresponding methods and systems are also disclosed.

Abstract: Disclosed are systems and methods for rendering augmented videos on mobile devices and computing environment with limited computational resources. The disclosed systems and methods provide a novel framework for performing automatic detection of surfaces in video frames resulting in the creation of a seamless in-video augmentation object experience for viewing users. The disclosed framework operates by leveraging available surfaces in digital content to show augmentation objects in compliance with various pre-established contextual and technical constraints. The disclosed framework evidences a streamlined, automatic and computationally efficient process(es) that modifies digital content at the surface level within the frames of the digital content based on the contextual and technical constraints, and the computational resources of the device augmented digital content is rendered on.

Abstract: In one embodiment, a set of training data consisting of inliers may be obtained. A supervised classification model may be trained using the set of training data to identify outliers. The supervised classification model may be applied to generate an anomaly score for a data point. It may be determined whether the data point is an outlier based, at least in part, upon the anomaly score.

Abstract: A device can receive, from a set of storage devices, first information relating to one or more pilot data plans that are associated with one or more first groups of user devices. The device can receive, from the set of storage devices, second information relating to one or more live data plans that are associated with one or more second groups of user devices. The device can analyze the first information and/or the second information to identify one or more patterns of information. The one or more patterns can include a data usage pattern, a demographic information pattern, a revenue generation pattern, and/or a user interest pattern. The device can perform one or more actions, including generating a new data plan, identifying one or more user accounts as candidates for a new data plan, and/or transmitting, via a network, information relating to the new data plan.

Abstract: Social network information may be shared across online service providers. Thus, one online service provider M that maintains a membership separate from a second online service provider N may nevertheless use the social network maintained by the second online service provider N to tailor content and/or services based on such social network information.

Abstract: Some embodiments provide partitioned serialized caching and delivery of large sized content and files. Some embodiments partition requests for large sized content into segment requests with each segment request identifying a different byte range of the requested content. Each segment request is hashed to identify a particular server from a set of servers tasked with caching and delivering a different segment of the requested content. In this manner, no single server caches or delivers the entirety of large sized content. The segment requests are distributed serially across the set of servers so that the segments are passed in order, wherein the serial distribution involves handing-off the requesting user's connection serially to each server of the set of server in the order with which the set of servers deliver the content segments.

Abstract: A device may receive initial registration data identifying initial camera parameters associated with a camera device provided at a location, and may receive location data associated with the location captured by the camera device. The device may receive map data identifying a map image of the location, and may transform the initial registration data into estimated camera parameters. The device may process the location data, with the estimator model, to generate extracted data, and may process the estimated camera parameters, the extracted data, and the map data, with a parameter optimization model, to identify camera parameters for the camera device. The device may provide the camera parameters to the camera device to cause the camera device to be configured based on the camera parameters.

Abstract: A method for smart preloading of content resources on client devices is provided. The method includes operations for presenting an interface running on a client device that includes a plurality of content indicators associated with a plurality of content items. The method includes an operation for selectively preloading into a cache of the client device a resource associated with a content item if the content item has a level of engagement that is greater than that of other content items. According to this embodiment, the level of engagement is a measurement of interaction to the content items by other users associated with the user by, for example, a social network. The method further includes retrieving and using the resource for presenting the content item via the interface such that the content item is presented in less time than if the resource were not preloaded to the cache based on the level of engagement.

Abstract: One or more computing devices, systems, and/or methods for presenting augmented reality (AR) experiences and/or sharing AR objects are provided. For example, a request to initiate an AR experience may be received from a device associated with an email account. A real time view of a camera of the device may be displayed using an AR interface, where a set of AR objects are overlaid onto the real time view of the camera. An edited set of AR objects may be generated based upon one or more inputs corresponding to one or more edits to the set of AR objects. The edited set of AR objects may be overlaid onto the real time view of the camera. An email comprising the edited set of AR objects may be transmitted to one or more email accounts responsive to receiving a second request to share the edited set of AR objects.

Abstract: A method, a device, and a non-transitory storage medium provide for receiving a request to provision a trial service to a user device, wherein the trial service includes providing a premium service to the user device during a trial time period; identifying a class of service provided to the user device, wherein the request is denied when the premium service is provided to the user device; determining whether the user device is eligible to receive the premium service; determining, when the user device is eligible to receive the premium service, whether the user device is eligible to receive the trial service; and provisioning, based on determining that the user device is eligible to receive the trial service, the trial service to the user device.

Abstract: The present teaching relates to method, system, and medium for generating training data for generating a relationship identification model. Sentences are received as input. Each of the sentences is aligned with a fact previously stored to create an alignment. Confidence scores for the alignments are computed and then used, together with the alignments to train a relationship identification model.

Abstract: In some implementations, a device that includes an embedded universal integrated circuit card (eUICC) may enable a first subscriber identity module (SIM) profile. The first SIM profile may be installed in memory of the eUICC and associated with a first integrated circuit card identifier (ICCID). The device may request a second SIM profile based on enabling the first SIM profile. The second SIM profile may be associated with a second ICCID that is different from the first ICCID. The device may receive the second SIM profile based on requesting the second SIM profile, and may install the second SIM profile in memory of the eUICC in a disabled state. Other implementations are described herein.

Abstract: An advertising and data analysis platform may need to mine through vast amounts of data to come up with insights into advertising effectiveness, and measure and improve the effectiveness of advertising reach. Distributed network data analytics may be applied to ad matching/targeting, such that an in-memory cluster computing environment may be used with advertising data. For example, HADOOP may be utilized for distributed processing of the vast amounts of data and the HADOOP distributed file system (HDFS) is used for organizing communications and storage of that data. Satellite clusters or nodes may be generated that also utilize HDFS. For example, a SPARK or SHARK satellite cluster may be arranged to further utilize the HDFS of the HADOOP clusters.

Abstract: The solution distributes the management of stream segments from a central storage cluster to different edge servers that upload stream segments to and receive stream segments from the central storage cluster. Each edge server tracks the stream segments it has uploaded to the central storage cluster as well as the expiration times for those segments. The tracking is performed without a database using a log file and file system arrangement. First-tier directories are created in the file system for different expiration intervals. Entries under the first-tier directories track individual segments that expire within the expiration interval of the first-tier directory with the file system entries being files or a combination of subdirectories and files. Upon identifying expired stream segments, the edge servers instruct the central storage cluster to delete those stream segments. This removes the management overhead from the central storage cluster and implements the distributed management without a database.

Abstract: A method, a device, and a non-transitory storage medium are described in which a micro-adapter architecture for a device gateway service is provided. The micro-adapter architecture for a device gateway service may be included in a cloud native backend gateway. The cloud native backend gateway may include a set of adapters that are logically grouped in layers for providing device gateway services. The device gateway services may include an application layer, a device layer, and a transport layer. The device gateway services may include bounded contexts based on rules that define the application layer, the device layer, and the transport layer. The device gateway services may be microservices that are distributed within the defined layers.

Abstract: One or more computing devices, systems, and/or methods for generating options associated with a task are provided. For example, a request to generate options associated with a task may be received via a device. Responsive to receiving the request, an option database may be analyzed based upon the task to generate a plurality of options associated with the task. One or more personality profiles may be selected from a plurality of personality profiles for the request, wherein each personality profile represents at least one objective. The plurality of options may be ranked based upon the one or more personality profiles to generate a ranked list of options. At least a portion of the ranked list may be presented.

Abstract: A base station may receive repetitive data transmitted using a particular set of radio resources The base station may apply a first orthogonal pattern, assigned to a first user equipment (UE), to a segment of subframes of the received repetitive data. The base station may apply a second orthogonal pattern, assigned to a second UE, to the segment of subframes of the received repetitive data. The base station may determine first repetitive data, transmitted by the first UE using the particular set of radio resources, based on applying the first orthogonal pattern to the segment of subframes of the received repetitive data. The base station may determine second repetitive data, transmitted by the second UE using the particular set of radio resources, based on applying the second orthogonal pattern to the segment of subframes of the received repetitive data.