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Matthew Ryan Gattis
Researcher at eBay
Publications - 11
Citations - 678
Matthew Ryan Gattis is an academic researcher from eBay. The author has contributed to research in topics: Interactive computing & Dialog box. The author has an hindex of 10, co-authored 11 publications receiving 678 citations.
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Patent
Inferring user preferences from an internet based social interactive construct
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.
Patent
Geographically localized recommendations in a computing advice facility
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.
Patent
Recommendations in a computing advice facility
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.
Patent
Interactive machine learning advice facility
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.
Patent
Interactive computing advice facility that infers user profiles from social networking relationships
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.