Microsoft Technology Licensing, LLC

John Toews

Helge Grenager Solheim

Umut Alev

Rune Djurhuus

Lucian Baciu

Rafiq El Alami

Georges Krinker

Dmitry Shaporenkov

Morgan Larsson

Sangeetha Sangeetha

Alexey Zolotukhin

Anders Fagerhaug

Sarah Brodwall

Nicholas Lovell

Personalized search or query suggestions associated with one or more persons and/or content items are provided. A suggestion application learns from user behavior within the suggestion application and presents suggestions for allowing the user to search or navigate to one or more people of particular interest or relevance to the user and for allowing the user to search or navigate to one or more content items associated with people and activities of particular interest or relevance to the user. Two types of suggestions are provided to the user. A first type of suggestion involves suggesting one or more people that may be of particular relevance or interest to the querying user. A second type of suggestion includes a textual suggestion comprised of a person (actor) and an associated action.

Personalized information query suggestions

A method, system, and one or more computer-readable storage media for visualizing ranking factors for items in a search result list are provided herein. The method includes generating a search result list for a query and generating a visualization of one or more ranking factors for each of a number of items in the search result list.

Visualizing ranking factors for items in a search result list

Online application state information is automatically saved for a user interacting with the application content. Saved states are presented to the user upon the user's return to the application. Upon the user's selection of a state, the user is presented with the online application populated with state information from prior interaction.

Providing state service for online application users

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Oslo, Norway

John Toews