Microsoft Technology Licensing, LLC

Kenneth Alan Moss

Eric J Horvitz

William Henry Gates, Iii

Gary William Flake

Joshua T Goodman

Oliver Hurst-Hiller

Hugh Evan Williams

Trenholme J Griffin

Surajit J Chaudhuri

John Carlton Platt

Bradly A Brunell

Anoop Gupta

Christopher A Meek

Ethan Nelson Ray

James E Walsh

Ramez Naam

Nitin Agrawal

Tabreez Govani

Jamie Paul Buckley

Ariel J Lazier

Julia H Farago

Nicholas A Whyte

Andy Lam

Kavi J Goel

Philip Fung

Raymond Edward Ozzie

Eric Benjamin Watson

Eytan D Seidman

The subject disclosure pertains to web searches and more particularly toward influencing resultant content to increase relevancy. The resultant content can be influenced by reconfiguring a query and/or filtering results based on user location and/or context information (e.g., user characteristics/profile, prior interaction/usage temporal, current events, and third party state/context . . . ). Furthermore, the disclosure provides for query execution on at least a subset of designated web content, for example as specified by a user. Still further yet, a localized marketing system is disclosed that provides discount offers to users that match merchant criteria including proximity. A system for actively probing populations of users with different parameters and monitoring responses can be employed to collect data for identifying the best discounts and deadlines to offer to users to achieve desired results.

Search guided by location and context

Architecture that monitors interaction data (e.g., search queries, query results and click-through rates), and provides users with links to other users that fall into similar categories with respect to the foregoing monitored activities (e.g., providing links to individuals and groups that share common interests and/or profiles). A search engine can be interactively coupled with one or more social networks, and that maps individuals and/or groups within respective social networks to subsets of categories associated with searches. A database stores mapped information which can be continuously updated and reorganized as links within the system mapping become stronger or weaker. The architecture can comprise a social network system that includes a database for mapping search-related information to an entity of a social network, and a search component for processing a search query for search results and returning a link to an entity of a social network based on the search query.

Search engine that identifies and uses social networks in communications, retrieval, and electronic commerce

Data management in social networks

Systems, methods, and computer-readable media for determining the Internet search popularity of an entity are provided. Embodiments of the present invention include receiving a group of Internet search records and assigning a popularity ranking based on the number of times an entity descriptor associated with an entity occurs within the group of Internet search records created over a designated time period. An entity descriptor is one or more terms commonly used to identify an entity. The trend in an entity's popularity rank may also be calculated. An entity's popularity rank and trend in popularity rank may be presented in a graph or in a list.

Determining entity popularity using search queries

Provided is mechanism for guiding computer searches (e.g., web, Internet, intranet . . . ). Machine learning and reasoning mechanisms are employed together with a search engine to facilitate intelligent guidance of queries and results based on a query and responses to computer generated inquires. Also, disclosed is a mechanism that enables users to validate computer-based information. Users can receive a validity metric associated with computer generated or provided results. Validation systems and methods are disclosed to facilitate determining the results including those that employ humans (e.g., referrals, voting . . . ) and/or automated ways (e.g., source analysis, data mining . . . ).

Intelligently guiding search based on user dialog

Displaying potential search-engine queries in a portion (e.g., a portion allocated for a web advertisement or within an inline frame) of a web page along with the content of the web page is described herein. The potential search-engine queries are determine by first analyzing either the underlying content of the web page (or other web pages) or searching various historic user metrics. Once determined, the potential search-engine queries are displayed within the portion of the web page along with the content of the web page. When a user selects one of the displayed potential search-engine queries, a query is sent to a search engine requesting web content relevant to the selected potential search-engine query.

Syndicating search queries using web advertising

A unique object navigation system, user interface, and method that facilitate faster and smoother navigation of objects are provided. For example, the system can generate a plurality of objects that can be rendered on a display space that spans a single page in length, thereby mitigating the need to navigate through multiple pages. The system can determine the length of the page according to the number of objects generated. To view off-screen objects, an infinite scroll component can be employed. The amount of scroll space needed to view the plurality of objects can be determined in part by the length of the page and/or by the number of objects. The objects can also be viewed in a film strip format that is infinitely scrollable. The film strip view allows a view of the objects to be maintained while also viewing a selected object in greater detail at the same time.

Object search UI and dragging object results

The subject invention provides for systems and methods that visually enhance paid inclusion listings to facilitate offering a clear and substantial value to paid inclusion advertisers while retaining ordering rights to keep listings relevant to users. More specifically, the systems and methods allow paid inclusion listings to be visually modified at the discretion of the advertiser, the user, and/or the search service provider (e.g., publisher of search results) to facilitate differentiation among advertisers, companies, and the like. The ordering of the enhanced paid inclusion listings is not compromised based on the number or type of enhancement selected by the paid inclusion customer. A search service provider or search result publisher ('service provider') can offer a plurality, or at least one, of different types of enhancements to paid inclusion customers ('advertisers') to affect the rendering of any paid inclusion listing to the user.

Paid inclusion listing enhancement

Object search ui and dragging object results

Growing community of inventors

Mercer Island, WA, United States of America

Kenneth Alan Moss