Abstract: Systems and methods may provide traversing data using metadata. In one example, a method may include gathering a textual description of a first object, wherein the textual description includes a word, generating a vector represent the textual description, assigning a first weight value to the word, associating an object space with the word including assigning a second weight value to the word, and associating an object space with the first object.

Abstract: A system and method includes obtaining reviews from an electronic commerce site, generating statistics via a specifically programmed machine regarding the reviews by reviewers, identifying reviewers via the machine having statistics indicative of a compensated reviewer, generating scores via the machine for the reviewers indicative of a probability that each reviewer is a compensated reviewer. The method may further or alternatively include monitoring user interactions via a specifically programmed machine with electronic commerce generated content with respect to reviews of products, and providing a reviewer score via the machine responsive to such user interactions, wherein the score is representative of the probability that a reviewer generating the score is compensated with respect to providing reviews.

Abstract: A system includes a first mobile device configured to initiate communication with at least one other mobile device. The first mobile device includes a status indicator configured to provide a persistent visual indication to a user of the status of a mute function of the first user device during the active communication. The first mobile device further includes a user interface configured to receive predefined user input and allow the user to toggle between mute and un-mute states based on the user input regardless of whether a display of the device is shut off and/or the user interface is locked.

Abstract: Systems and methods may provide for implementing a counteroffer generation service. In one example, the method may include detecting an inquiry relating to an item offered by a vendor, analyzing the inquiry to determine the item, generating a counteroffer relating to the item, generating counteroffer code including the counteroffer relating to the item, and conducting a transaction relating to the item utilizing the counteroffer code.

Abstract: Various embodiments are generally directed to cooperation among networked devices to obtain and use a multiple-frame screenshot. In one embodiment, an apparatus comprises a processor circuit executing a sequence causing the processor circuit to receive a signal conveying a context data; retrieve an aspect of a current context of the apparatus; compare the aspect to the context data; determine whether a context defined as appropriate exists to engage in interactions with one or more other computing devices through a network based on the comparison, the interactions comprising providing a network service to the one or more other computing devices; and engage in the interactions with one or more computing devices through the network when the appropriate context to engage in the interactions exists. Other embodiments are described and claimed herein.

Abstract: Systems and methods may provide for receiving a first request from a remote device for access to content on a second remote device, and invoking a proxy server embedded in an HTML5-compliant browser on a local device. Additionally, the first remote device may be provided with access to the content on the second remote device via the proxy server. Moreover, input may be received from a user interface of the local device, wherein a second request may be transmitted to the first remote device for access to content on a third remote device. In one example, the first remote device is unauthorized with respect to the content on the second remote device, and the local device is unauthorized with respect to the content on the third remote device.

Abstract: A technique includes using a processor-based machine to determine a dynamic interaction characteristic of a group of users. The technique further includes, based at least in part on the determined dynamic interaction characteristic, determining a profile of the group for a recommendation engine.

Abstract: A method is provided to track geolocations of multiple mobile location tracking enabled devices, each such device associated with at least one member of a group of subjects; one of the devices sends a map image of a real-world location and indicia of geofence to each of the other devices; each of multiple devices sends its geolocation to at least one other device in the group; the at least one device in the group displays the respective geolocations of the other devices relative to the map image and relative to the geofence image; an alert is generated by the at least one other device in the group in response to a determination that at least one of the devices in the group is disposed outside the geofence or within a prescribed distance from the geofence.

Abstract: A method and system are disclosed. In one embodiment the method includes calculating a trust level of a first entity. The first entity has a plurality of components. Each component in the first entity has at least the trust level of the first entity.

Abstract: A method and system are disclosed. In one embodiment the method includes calculating a trust level of a first entity. The first entity has a plurality of components. Each component in the first entity has at least the trust level of the first entity.

Abstract: An embodiment of the present invention provides a method of using probabilistic techniques in trending and profiling of user behavior in order to offer recommendations, comprising detecting patterns in user behavior over time thereby enabling a personal device associated with said user to predict what the user is likely to do on a given day or what the user intends to accomplish in an action that has begun.

Abstract: An embodiment of the present invention provides a method, comprising, capturing context information of a user and using heuristics based on a common knowledge database to turn location tracked over time combined with the context information into semantic location information.

Abstract: Machine-readable media, methods, apparatus and system for a community-based trust are provided. In an embodiment, it may be determined whether a requesting node obtains a trust from a targeting node through an endorsement from an intermediate node. If the requesting node obtains the trust through the endorsement from the intermediate node, an intermediate trust level that indicates how much the targeting node trusts the intermediate node may be obtained; and a new trust level that indicates how much the targeting node trusts the requesting node may be calculated based upon the intermediate trust level.

Abstract: A method and system are disclosed. In one embodiment the method includes calculating a trust level of a first entity. The first entity has a plurality of components. Each component in the first entity has at least the trust level of the first entity.

Abstract: Video sources may be located on the Internet and particular videos at those sources may be selected for subsequent replay by using graphical controls provided, for example, in connection with a browser. These controls may permit the use of select, particular video segments for subsequent replay by adding them to a playlist. Then when the user has assembled the playlist in the order desired, the play of the playlist can be selected. The playlist video may then be displayed for the user on a remote display, such as a high definition television display. At the same time, the user's computer screen may display a control view which allows the user to view and add annotations and to control the play of a video on the high definition television screen.

Abstract: Techniques are disclosed that involve detecting and tracking groups of people associated with a user device (e.g., people watching television), and customizing the experience to the group. Various features may be employed. Such features may include classification of individuals, identification of commonly occurring groupings of people, and identification of the presence of group outsiders. Based on the presence of such individuals, groups, and/or outsiders, delivery of information to the user device may be controlled.

Abstract: An embodiment of the present invention provides a mobile device, comprising a processor adapted to deliver purchase recommendations to a user of the mobile device based on an interactive mobile shopping application by interacting by the user with the mobile device, and on which the interactive mobile shopping application resides, to refine the user's interests and obtain recommendations for alternative products that may better fit the user's needs, and wherein the mobile device is further adapted to collect information about the user's in-market interests and overall shopping patterns thereby allowing opportunities for targeted advertising.

Abstract: An embodiment of the present invention provides a mobile device, comprising a processor adapted to use probabilistic techniques in trending and profiling of a user of the mobile device's behavior in order to offer recommendations by detecting patterns in the user behavior over time and thereby enabling said mobile device to predict what the user is likely to do on a given day or what the user intends to accomplish in an action that has begun.

Abstract: An embodiment of the present invention provides a method of relationship characterization and utilization from a user's social network, comprising, using monitoring agents for the user's social network to create a unique profile of each contact in the social network by feeding data into a context aware framework, clustering raw data by extracting common interests and relevant keywords, thereby creating rich context-aware lists of keywords that characterize relationships among users of the social networks, and providing an interface to query the lists.

Abstract: An embodiment of the present invention provides an Internet access device, comprising a processor adapted to provide recommendation-guided Internet purchases by identifying purchasing opportunities that would be directly relevant to a user of said Internet access device, wherein the Internet access device would utilize context received from the user's constellation of devices to develop a profile of the user's purchasing behavior, and automatically offer purchasing opportunities that are most likely to be of interest to the user.