Abstract: Technologies are generally described for dynamic optimization of environmental controls. A system according to some examples may determine a person's environmental preferences and generate a time-based environmental control model for that person. The system may also generate a location model defining current and predicted future locations for the person. The environmental model may take into account person's previous or current activity and be adjusted based on sensed data from interior and exterior environmental sensors and body sensors on the person. Models for multiple people may be combined based on priorities or personal characteristics. Models may also be stored in mobile devices such that settings can be implemented in future locations prior to arrival of the person. Implemented settings may be adjusted for additional people as they arrive at the location.

Abstract: Technologies are generally described for automatic adjustment of position and/or location of a customer premises equipment (CPE) to enhance signal quality under varying conditions. Following an initial setup of the CPE, conditions that may degrade signal quality may be monitored and correlated to degradation of the signal quality. Machine learning may be employed to determine new position(s)/location(s) for the CPE and its antenna to improve the signal quality between the CPE and its cellular base station.

Abstract: Methods, systems, and devices for worker ranking, worker scheduling, and enterprise labor sharing are described. A method includes: receiving objective evaluation data associated with members of a workforce; receiving subjective evaluation data associated with the members; generating composite evaluation data associated with the first members based on the objective evaluation data, the subjective evaluation data, or both; and generating scheduling information associated with the members based on the composite evaluation data. Another method includes: assigning members of a workforce to candidate temporal periods of a work schedule, where the assigning is based on a priority order corresponding to composite evaluation data associated with the members.

Abstract: Methods, systems, and devices for worker ranking, worker scheduling, and enterprise labor sharing are described. A method includes: receiving objective evaluation data associated with members of a workforce; receiving subjective evaluation data associated with the members; generating composite evaluation data associated with the first members based on the objective evaluation data, the subjective evaluation data, or both; and generating scheduling information associated with the members based on the composite evaluation data. Another method includes: assigning members of a workforce to candidate temporal periods of a work schedule, where the assigning is based on a priority order corresponding to composite evaluation data associated with the members.

Abstract: Technologies are generally described for systems, methods and devices effective to remove information from a network such as the Internet. In some examples, a device may include a memory including instructions and a processor configured in communication with the memory. The processor may be configured effective to receive user information relating to a user and search the network using the user information. In response to the search, the processor may find additional information relating to the user stored in the network. The processor may receive a first request to remove particular information from the network. The particular information may be part of the additional information and the particular information may be removable by a second user. The processor may send a second request to remove the particular information from the network.

Abstract: In one example, a user interface may be configured to receive input from a hosting device, a transmitter may be configured to solicit competing bids to subscribing devices for a requested service based on the input from the hosting device, a queue may be configured to store bids from third-parties in response to the transmitted request for bids for the requested service, and a receiver may be configured to receive a manifestation of the requested service from one of the third-parties whose received bid was accepted.

Abstract: In some examples, a computing system may access multiple information files, generate term-passage matrix data based on the multiple information files, and decompose the term-passage matrix data to generate a reduced-dimensional semantic space, which may be used for information retrieval.

Abstract: Technologies are generally described to provide models of body based on information collected from sensors. In some examples, position information from wearable sensors attached to different portions of a body may be used to determine a posture and/or a position of one or more portions of the body. A three-dimensional (3D) model of the body may be generated as a 3D graph based on the based on the posture and/or position information and a deviation of the posture and/or the position of the portions of the body from an optimal posture and/or position may be determined. The 3D model may be generated as a three-regular graph, where vertices of the three-regular graph represent portions of the body augmented with the wearable sensors and edges of the three-regular graph represent portions of the body connected to each other.

Abstract: In some examples, a computing system may access multiple information files, generate term-passage matrix data based on the multiple information files, and decompose the term-passage matrix data to generate a reduced-dimensional semantic space, which may be used for information retrieval.

Abstract: Technologies are provided for identifying context associated with received content and automatically forwarding the content to an associated communication network for posting. In some examples, a user may create content for posting to one or more communication networks and send the content over a network for posting to a first communication network. Upon receipt of the content for posting, the first communication network may identify a context of the received content and may associate the context with a second communication network based on a set of content forwarding rules. The first communication network may automatically forward the received content to the associated second communication network for posting at the second communication network. Additionally, a third party entity may be configured to monitor content received at a first communication network, identify a context of the received content, and automatically forward the received content to the associated second communication network for posting.

Abstract: Technologies are generally described for systems, methods and devices effective to remove information from a network such as the Internet. In some examples, a device may include a memory including instructions and a processor configured in communication with the memory. The processor may be configured effective to receive user information relating to a user and search the network using the user information. In response to the search, the processor may find additional information relating to the user stored in the network. The processor may receive a first request to remove particular information from the network. The particular information may be part of the additional information and the particular information may be removable by a second user. The processor may send a second request to remove the particular information from the network.

Abstract: Technologies are generally described for systems, methods and devices effective to remove information from a network such as the Internet. In some examples, a device may include a memory including instructions and a processor configured in communication with the memory. The processor may be configured effective to receive user information relating to a user and search the network using the user information. In response to the search, the processor may find additional information relating to the user stored in the network. The processor may receive a first request to remove particular information from the network. The particular information may be part of the additional information and the particular information may be removable by a second user. The processor may send a second request to remove the particular information from the network.

Abstract: Technologies are generally described for processes and systems effective to select or determine a wager for an event. A wager processor may be configured to be in communication with a wager database and an event status processor over a network. The wager processor may be effective to receive event information and crowd information. The event information may relate to a status of the event. The crowd information may relate to demographics and/or interests of the participants at the event. The wager processor may select or determine the wager based on the event information and the crowd information.

Abstract: Technologies are provided for identifying context associated with received content and automatically forwarding the content to an associated communication network for posting. In some examples, a user may create content for posting to one or more communication networks and send the content over a network for posting to a first communication network. Upon receipt of the content for posting, the first communication network may identify a context of the received content and may associate the context with a second communication network based on a set of content forwarding rules. The first communication network may automatically forward the received content to the associated second communication network for posting at the second communication network. Additionally, a third party entity may be configured to monitor content received at a first communication network, identify a context of the received content, and automatically forward the received content to the associated second communication network for posting.

Abstract: Technologies are provided for building a profile for a person based on an asserted interest and actual participation of the person in activities associated with the asserted interest. An online event such as a social networking event involving the person online may be a reflection of either their aspirational self or their real self. In some examples, a hypothesis may be generated as to whether it is likely to be aspirational or real. The hypothesis may be proven or disproven by identifying activities actually participated in by the person, in other words, comparing their actions and/or behavior in the physical and/or virtual world with what they assert about themselves in the virtual world. The profiles for the aspirational and real personas may be accurately constructed based on the hypothesis and used, for example, in targeted marketing.

Abstract: In one example, a user interface may be configured to receive input from a hosting device, a transmitter may be configured to solicit competing bids to subscribing devices for a requested service based on the input from the hosting device, a queue may be configured to store bids from third-parties in response to the transmitted request for bids for the requested service, and a receiver may be configured to receive a manifestation of the requested service from one of the third-parties whose received bid was accepted.

Abstract: In one example a computer-readable medium storing computer-executable components that comprise, at least, a guardian component configured to receive, from an authoritative entity, conditions upon which a potential transaction for a deferring entity may be authorized; and a transactional component configured to receive, from a transacting entity, a request for authorization for an actual transaction with the deferring entity, and to transmit, to the transacting entity, a determination as to whether the request for authorization for the actual transaction is acceptable in view of the stored conditions.

Abstract: Technologies are provided for verifying the group nature of a consumer request to provide a group incentive. In some examples, a consumer may purchase goods and services from a merchant over a network, and may request to take advantage of a group incentive associated with an established group. The merchant may verify that the consumer is a member of the established group before allowing the consumer to receive or use the group incentive. Upon receiving the request associated with the group incentive, the merchant may identify attributes of the consumer and/or the group the consumer claims to belong to. If the attributes match a commonality criterion, the incentive may be authorized. Additionally, the merchant may require a physical appearance of the consumer along with other group members in order to utilize the group incentive.

Abstract: Technologies are generally described for processes and systems effective to select or determine a wager for an event. A wager processor may be configured to be in communication with a wager database and an event status processor over a network. The wager processor may be effective to receive event information and crowd information. The event information may relate to a status of the event. The crowd information may relate to demographics and/or interests of the participants at the event. The wager processor may select or determine the wager based on the event information and the crowd information.

Abstract: Technologies are generally described for processes and systems effective to select an advertisement to be displayed for viewing by participants at an event. An advertisement processor may be configured to be in communication with an advertisement database and an event status processor over a network. The advertisement processor may be effective receive event information and crowd information. The event information may relate to a status of the event. The crowd information may relate to demographics and/or interests of the participants at the event. The advertisement processor may select the advertisement based on the event information and the crowd information.