Empire Technology Development LLC

Raghuram Madabushi

Vlad Grigore Dabija

Timothy Martin Londergan

David Walter Ash

Dominic Suciu

Patrick John Ennis

Alexander Knight

Feng Wan

Yiyang Wang

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.

Information removal from a network

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.

On demand information network

Technologies are provided for filtering user's actions based on user's mood. User's actions may include online actions. To prevent 'in the heat of the moment' actions, which a user may regret later, a mood based filter may identify a user action such as posting a message to a social network, a professional network, an email network, a blog, or an instant message network. An automatic system action may then be taken based on the detected user's mood. In some examples, the user's mood may be assigned to a numeric or alphanumeric category. Various system actions such as blocking or delaying the user action may be tied or associated to the user's mood category through one or more predefined, customizable rules. In other examples, a user confirmation of the user action may also be included in addition to the automatic system action.

Filtering user actions based on user's mood

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.

Automatic content forwarding to communication networks of content posted from a user

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.

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Seattle, WA, United States of America

Raghuram Madabushi