Abstract: Disclosed herein is a mechanism, which may be in a community-driven system, to assist a user, or member of the community, to articulate a request, such as a question, that is likely to receive a response, e.g., an answer to a question posed, from the user community. A machine learning approach may be used to generate a model, which model may be trained using previously-posted requests, e.g., questions, and response, e.g., answers. The generated model may be used to make a prediction, e.g., to predict a potential number of answers for a given question, which prediction may also have an accompanying confidence score. A prediction generated by the model may be presented to the user as the user is providing the input, e.g., typing a question. Such prediction may be generated for a partial question, e.g., as the question is being typed, as well as a completed question.

Abstract: A system and method for learning a new user's interests in the absence of historical data includes: generating a user interface on which a user interacts in a session; formulating questions such that a user response to the questions indicates a preference; presenting the questions to the user on the user interface; receiving responses from the user, the responses indicating user preferences; and populating a new user profile with the user preferences. The steps of presenting, receiving, and populating are repeated until the session terminates.

Abstract: Deriving a user profile includes: generating a user interface on which a user interacts in a session; formulating questions such that a user response to the questions indicates a preference; presenting the questions to the user on the user interface; receiving responses from the user, the responses indicating user preferences; and populating a user profile with the user preferences. The steps of presenting, receiving, and populating are repeated until the session terminates.

Abstract: Disclosed herein is a mechanism, which may be in a community-driven system, to assist a user, or member of the community, to articulate a request, such as a question, that is likely to receive a response, e.g., an answer to a question posed, from the user community. A machine learning approach may be used to generate a model, which model may be trained using previously-posted requests, e.g., questions, and response, e.g., answers. The generated model may be used to make a prediction, e.g., to predict a potential number of answers for a given question, which prediction may also have an accompanying confidence score. A prediction generated by the model may be presented to the user as the user is providing the input, e.g., typing a question. Such prediction may be generated for a partial question, e.g., as the question is being typed, as well as a completed question.

Abstract: Embodiments of the invention include a shaving apparatus. The shaving apparatus may include, for example, a generally elongated handle portion; a rotatable blade mechanism coupled to said handle portion and including a generally cylindrical blade mount having mounted thereon a plurality of blades having cutting edges extending radially outwardly from said blade mount; and a rotation mechanism to rotate said blade mount about a rotation axis of said blade mount, wherein the cutting edges are oriented to cut in a shaving plane generally parallel to the rotational axis. Other embodiments are described and claimed.

Abstract: A method for automatically operating a robot, attached to a lawnmower or other unmanned machine, within an enclosed area is disclosed.

Abstract: A method for automatically operating a robot, attached to a lawnmower or other unmanned machine, within an enclosed area is disclosed.

Abstract: A method for automatically operating a robot, attached to a lawnmower or other unmanned machine, within an enclosed area is disclosed.

Abstract: A method for automatically operating a robot, attached to a lawnmower or other unmanned machine, within an enclosed area is disclosed.

Abstract: A system for operating an autonomous robot for performing tasks, such as lawn mowing, includes an indicator and a robot configured for detecting the indicator and generating a map of the working area bounded by the indicator and correcting the position of the robot in accordance with the generated map of the working area.

Abstract: A method for automatically operating a robot, attached to a lawnmower or other unmanned machine, within an enclosed area is disclosed.

Abstract: A method for automatically operating a robot, attached to a lawnmower or other unmanned machine, within an enclosed area is disclosed.