Microsoft Technology Licensing, LLC

Christina Colcernian

David Earl Heckerman

Jack W Stokes

Christian Seifert

Yinghua Yao

William Wagner

Sasi Parthasarathy

Britt Hillary Hansing

Elia Karagiannis

Long Lu

Nathan James Chalmers

Navaneethan Santhanam

Anh Quynh Ly

Architecture that computes a definitive answer to a user's top intent of a search query, and positions the top intent answer in a prominent way and at a prominent location of a results page or other search user interface, where the user is most likely to see the top intent answer in an expeditious manner. This may be at the top-most position of the page, above the search results and advertisements, but below the page header and search box. Additionally, the definitive and prominently-placed answer can be presented with an interactive, animated, and/or visually rich element that supplements the original intent. The top intent location can be the boldest element on the page, extend at least one full dimension of the page, use larger fonts and bolder colors than the rest of the search results, and which makes finding the answer easier and faster for the user to locate.

Result prominence in search

A machine-implemented method for detecting scareware includes the steps of accessing one or more landing pages to be evaluated, extracting one or more features from the landing pages, and providing a classifier to compare the features extracted from the landing pages with features of known scareware and non-scareware pages. The classifier determines a likelihood that the landing page is scareware. If determined to be scareware, the landing page is removed from search results generated by a search engine. The features can be URLs, text, image interest points, image descriptors, a number of pop-ups generated, IP addresses, hostnames, domain names, text derived from images, images, metadata, identifiers of executables, and combinations thereof.

Scareware detection

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Seattle, WA, United States of America

Christina Colcernian