Microsoft Technology Licensing, LLC

Daniel Robert Schwartz

Peter Bailey

William Ramsey

Nikhil Dandekar

Nick Craswell

Aidan C Crook

Sebastian De La Chica

Methods are provided for re-ranking documents based on user-specific features. Search results are received from a non-contextual ranking system such that the search results are not specific toward a particular user, such as the user who submitted the search query. Contextual signals are received and provide user-specific features that are used to re-rank documents so that the most important and relevant documents are listed at the top of the list of search results. Each of the user-specific features are evaluated and compared to determine a new position of each document. A set of contextual search results is then generated based on the new positions.

Ranking contextual signals for search personalization

An aggregation service aggregates discussions of events and topics within a given subject area using seed search queries, seed URLs, and/or search engine data. A subject area is selected and a set of seed search queries and/or seed URLs relevant to that subject area are manually generated. The set of seed search queries and/or seed URLs are used to identify URLs containing content relevant to the subject area. The URLs are crawled at given intervals to identify content items, which are analyzed using a classifier to identify content items relevant to the subject area. The content items are grouped into clusters surrounding events and/or topics within the subject area. The various clusters are ranked against one another to facilitate ordering clusters for presentation to end-users.

Automated discovery aggregation and organization of subject area discussions

Growing community of inventors

Seattle, WA, United States of America

Daniel Robert Schwartz