Abstract: Systems and methods may provide for extracting location data from a plurality of news items, wherein at least a portion of the location data has a first level of detail that is greater than or equal to a neighborhood, and using the location data to populate a news data store. Additionally, a response to a news query may be generated based on a requested location associated with the news query and the location data in the news data store, wherein the requested location has a second level of detail that is greater than or equal to the first level of detail and the response indicates one or more news items that correspond to the requested location. In one example, a graphical representation of the response is overlaid on one or more of a map corresponding to the requested location or an image of the requested location.

Abstract: Embodiments of apparatus and methods for capturing and generating user experiences are described. In embodiments, an apparatus may include a processor. The apparatus may also include a data storage module, coupled with the processor, to store sensor data collected by a plurality of sensors attached to one or more devices. The apparatus may further include an experience correlation module, coupled with the data storage module, to associate at least a portion of the sensor data with a user experience based at least in part on one or more rules identifying the user experience, to enable regenerating at least a part of the user experience for a user based at least in part on the portion of the sensor data. Other embodiments may be described and/or claimed.

Abstract: A mechanism is described for facilitating data gathering and expectations setting according to one embodiment. A method of embodiments, as described herein, includes detecting an invitation relating to an event, where the invitation may include an invitation to an invitee to attend the event. The method may further include obtaining data relating to the event from a plurality of sources, where the data further relates to other invitees of the event. The method may further include interpreting the obtained data based on one or more of filtering factors and relevancy factors, generating recommendations based on the interpreted data, where the recommendations may include expectations relating to the event. The method may further include facilitating communication of the recommendations to set the expectations for the invitee in anticipation of the event.

Abstract: Techniques to extract data from computer-readable purchase records of a user, cluster the items of interest based on descriptions of the items, and associate descriptive keywords to the clusters, where the keywords represent interests of the user. One or more processes and/or functions may be performed on extracted data, including cluster-specific processes and/or function, including user-based, user interest-based, and/or crowd-based processes and/or function, which may include shopping pattern extraction, item or types of items availability based on time, location and other contextual metric, pricing data of items and expected pricing changes over time and seasonal variations, identification of user preferences, and/or shopping recommendations.

Abstract: Systems and methods may provide for using one or more generic classifiers to generate self-training data based on a first plurality of events associated with a device, and training a personal classifier based on the self-training data. Additionally, the one or more generic classifiers and the personal classifier to may be used to generate validation data based on a second plurality of events associated with the device. In one example, the personal classifier is substituted for the one or more generic classifiers if the validation data indicates that the personal classifier satisfies a confidence condition relative to the one or more generic classifiers.

Abstract: Systems and methods may provide for conducting an interest analysis of data associated with a user, wherein the interest analysis distinguishes between abstract interests and social interests. Additionally, one or more recommendations may be generated for the user based on the interest analysis and a current context of the user, wherein the one or more recommendations may be presented to the user. In one example, the abstract interests identify types of topics and types of objects, and the social interests identify types of social groups.

Abstract: Secure device association is generally described. In one example, a secure device association system comprises a first device comprising a mechanical actuator and a second device comprising a microphone, the mechanical actuator of the first device and the microphone of the second device to form an out-of-band (OOB) channel for secure association between the first device and the second device.

Abstract: Technologies for representing alternate reality characters in a real-world environment include receiving sensor data from sensors of a sensor network of a home location of an alternate reality character, determining available response to the stimuli represented by the sensor data, and determining an activity of the alternate reality character for a time period based on the available responses. The technologies may also include generating a video of the alternate reality character performing the determined activity superimposed on an image map of a real-world environment of the home location during the time period. Users may view the video in real time or during a time period subsequent to the time period represented in the video. Additionally, the alternate reality character may be transferred to remote computing devices in some embodiments.

Abstract: Embodiments of apparatus and methods for capturing and generating user experiences are described. In embodiments, an apparatus may include a processor. The apparatus may also include a data storage module, coupled with the processor, to store sensor data collected by a plurality of sensors attached to one or more devices. The apparatus may further include an experience correlation module, coupled with the data storage module, to associate at least a portion of the sensor data with a user experience based at least in part on one or more rules identifying the user experience, to enable regenerating at least a part of the user experience for a user based at least in part on the portion of the sensor data. Other embodiments may be described and/or claimed.

Abstract: Techniques for modifying a power state of a device are described herein. The techniques include receiving data from a sensor indicating movement of the device, and determining whether the device movement is associated with a predetermined device movement. Based on the determination, the techniques include modifying a power state of the device from either a first power state to a second power state, or from the second power state to the first power state, wherein the device consumes more power in the first power state than in the second power state.

Abstract: A method may include detecting motion of a mobile device and inferring from the motion a first activity of a user of the mobile device. The method may also include evaluating a signal quality of a radio signal received by a signal module and altering an operational mode of the signal module based on the signal quality and the first activity.

Abstract: A mechanism is described for facilitating real-time customization of messages to be transmitted between computing systems according to one embodiment of the invention. A method of embodiments of the invention includes receiving a notification relating to call made to a first computing device from a second computing device. The call may remain unanswered. The method may further include accessing a first data relating to a current status of the first computing device, analyzing the first data, and customizing, in real-time, a response based on the analyzed first data. The method may further include transmitting the customized response to the second computing device, in response to the unanswered call.

Abstract: Embodiments utilize a framework for modeling user's social roles in online self-expression tools such as blog or social networking, via semantic modeling techniques. The different ways users engage with content when stating explicit interests in their profile and via social expressions in a community are modeled. Certain themes guide the patterns users follow for expressing their interests in this community. An embodiment allows users to track how their posts and comments reflect with their online behavior. An embodiment infers the needs of the online community and makes suggestions or recommendations or sends alerts to users. Other embodiments are described and claimed.

Abstract: Systems, devices, and techniques are provided for occupancy assessment of a vehicle. For one or more occupants of the vehicle, the occupancy assessment establishes position and/or identity for some or all of the occupant(s).

Abstract: Apparatuses, systems, media and methods may provide for environment actuation by one or more augmented reality elements. A location module may determine a location of one or more networked devices in a real space and/or establish a location of the one or more augmented reality elements in a virtual space, which may be mapped to the real space. A coordinator module may coordinate a virtual action in the virtual space of the one or more augmented reality elements with an actuation event by the one or more networked devices in the real space. The actuation event may correspond to the virtual action in the virtual space and be discernible in the real space.

Abstract: A system and method for adaptive selection of context-based media for use in communication includes a user communication device configured to receive and process data captured by one or more sensors and determine contextual characteristics of a user environment based on the captured data. The user communication device is configured to identify media associated with the contextual characteristics of the user environment. In particular, the identified media may correspond to a contextual characteristic specifically assigned to the media and may also include content related to the contextual characteristics of the user environment. The user communication device is further configured to display the identified media via a display of the user communication device and include the identified media in a communication to be transmitted by the user communication device if the identified media is selected for inclusion in the communication.

Abstract: Aspects of the disclosure render safer a communication between a caller within a vehicle and a callee located remotely. In one aspect, context information associated with such communication can be shared among the caller and the callee. Accordingly, in another aspect, a context-rich, immersive communication between the in-vehicle communicator (or local communicator) and the remote communicator can be effected. In yet another aspect, proactive creation of safer vehicular operation can be provided by engaging the vehicle in communication with a remote device in response to unsafe vehicular contexts.

Abstract: Embodiments of the invention describe a system to efficiently execute gesture recognition algorithms. Embodiments of the invention describe a power efficient staged gesture recognition pipeline including multimodal interaction detection, context based optimized recognition, and context based optimized training and continuous learning. Embodiments of the invention further describe a system to accommodate many types of algorithms depending on the type of gesture that is needed in any particular situation. Examples of recognition algorithms include but are not limited to, HMM for complex dynamic gestures (e.g. write a number in the air), Decision Trees (DT) for static poses, peak detection for coarse shake/whack gestures or inertial methods (INS) for pitch/roll detection.

Abstract: Systems and methods for proximity detection between electronic devices are disclosed. One or more electronic devices transmit signals to a proximity server, which determines whether the first electronic device may be proximate the second electronic device. The proximity server transmits a signal to the first electronic device and the second device, and in response to the signal, the first and second electronic devices activate an environmental sensor, collect at least one sample of environmental data, extract at least one feature set of the environmental data, generate a first obscured feature from the feature set, transmit the first and second obscured feature sets to the proximity server. The proximity server uses the first obscured feature set and the second obscured feature set to determine whether the first electronic device and the second electronic device are proximate.

Abstract: Through status awareness, a handheld communications device may determine the location, activity, and/or physical or emotional state of the user. This information may in turn be used for various purposes, such as 1) determining how to alert the user of an incoming communication, 2) determining what format to use for communicating with the user, and 3) determining how to present the user's status to another person's communication device.