Matthew Ryan Gattis

TL;DR: In this paper, the authors described improved capabilities 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 ascertaining preferences of a plurality of users who are part of an internet-based social interactive construct.

TL;DR: In this article, the authors provide 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.

TL;DR: In this paper, a ratings matrix including matrix values is generated, each row of the ratings matrix identifying one of a plurality of users, each column of the rating matrix identifying an item, and each of the matrix values corresponding to a known affinity rating describing a degree of affinity associated with one of the users and one of items.

TL;DR: In this article, improved capabilities are described for helping a user make a decision through the use of a machine learning facility, such as a recommendation, a diagnosis, a conclusion, advice, and the like.

TL;DR: In this article, 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, and the process may begin with an initial question being received by the computing device from the user.