Abstract: An aspect of the present invention relates to methods and systems involving receiving an indicator of an attempted interaction of a client computing facility with an item of content associated with a website and presenting an indicator of reputation to a client computing facility attempting to interact with the web content. The indicator of reputation may be based at least in part upon whether an entity associated with the web content seeks to manipulate a user in order to obtain information from the user.

Abstract: A system, method, and computer program product comprise presenting a plurality of search results within a graphical user interface. Further, an indicia of risk is presented that reflects an analysis in association with at least one of the plurality of search results within the graphical user interface.

Abstract: An aspect of the present invention relates to methods and systems involving receiving an indicator of an attempted interaction of a client computing facility with an item of content associated with a website and presenting an indicator of reputation to a client computing facility attempting to interact with the web content. The indicator of reputation may be based at least in part upon whether an entity associated with the web content seeks to manipulate a user in order to obtain information from the user.

Abstract: A system, method, and computer program product comprise presenting a plurality of search results within a graphical user interface. Further, an indicia of risk associated with the search results is presented, in real-time, within the graphical user interface.

Abstract: A system, method, and computer program product comprise presenting a plurality of search results within a graphical user interface. Further, an indicia of risk associated with the search results is presented, in real-time, within the graphical user interface.

Abstract: The present disclosure provides a geographically localized recommendation to a user through a computer-based advice facility, comprising collecting a recommendation from an Internet source, wherein the recommendation is determined to have an interestingness aspect and a geographic location aspect, comparing the collected recommendation to a derived user taste and the user's current geographic location, determining at least one recommendation for the user based on processing on the comparison, and delivering at least one recommendation to a user's mobile communications device, wherein the user is enabled to at least one of view, save, and share the recommendation via an application at least in part resident on the computer-based advice facility.

Abstract: The present disclosure provides a recommendation to a user through a computer-based advice facility, comprising collecting topical information, wherein the collected topical information includes an interestingness aspect; filtering the collected topical information based on the interestingness aspect; determining an interestingness rating from the collected topical information, wherein the determining is through the computer-based advice facility; and providing a user with the recommendation related to the topical information based on the interestingness rating.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialogue consisting of questions from the computing facility and the answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a machine learning facility. The process may begin with an initial question being received by the machine learning facility from the user. The user may then be provided with a dialog consisting of questions from the machine learning facility and answers provided by the user. The machine learning facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the machine learning facility may be improved through feedback provided by the user.

Abstract: In embodiments of the present invention improved capabilities are described for a computer program product embodied in a computer readable medium that, when executing on one or more computers, helps target responses returned to a user through the use of a computer facility by performing the steps of (1) providing a user preference learning API to a third-party website to determine preferences of a user as related to a market of a third-party, wherein the preference learning API is executing as an extension of the computer facility; (2) receiving third-party information related to the market of the third-party; (3) collecting the preferences of the user and storing them as a user preference profile; (4) receiving a query from the user at the third-party website; and (5) using in the user preference learning API the third-party information related to the market of the third-party and the preferences of the user as stored in the user preference profile to provide a response back to the user that relates to the q

Abstract: In embodiments of the present invention improved capabilities are described for a computer program product embodied in a computer readable medium that, when executing on one or more computers, helps determine an unknown user's preferences through the use of internet based social interactive graphical representations on a computer facility by performing the steps of (1) ascertaining preferences of a plurality of users who are part of an internet based social interactive construct, wherein the plurality of users become a plurality of known users; (2) determining the internet based social interactive graphical representation for the plurality of known users; and (3) inferring the preferences of an unknown user present in the internet based social interactive graphical representation of the plurality of known users based on the interrelationships between the unknown user and the plurality of known users within the graphical representation.

Abstract: An aspect of the present invention relates to methods and systems involving automatically generating a third party assessment of a website's reputation, and storing an indicia of the assessment in a format and location that may be accessible by a client computing facility attempting to interact with the website.

Abstract: An aspect of the present invention relates to the methods and systems involved in receiving an indicator of an attempt by a user to execute an electronic commerce transaction and, upon receiving the indicator of the attempted transaction, presenting indicia of the reputation of another entity involved in the electronic commerce transaction.

Abstract: An aspect of the present invention relates to methods and systems involving receiving an indicator of an attempted interaction of a client computing facility with an item of content associated with a website and presenting an indicator of reputation to a client computing facility attempting to interact with the web content. The indicator of reputation may be based at least in part upon whether an entity associated with the web content seeks to manipulate a user in order to obtain information from the user.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Abstract: An aspect of the present invention relates to methods and systems involving receiving an indicator of an attempted interaction of a client computing facility with an item of content associated with a website and presenting an indicator of reputation to a client computing facility attempting to interact with the web content. The indicator of reputation may be based at least in part upon whether an entity associated with the web content seeks to manipulate a user in order to obtain information from the user.