Microsoft Technology Licensing, LLC

Jamie Paul Buckley

Hugh Evan Williams

Tabreez Govani

Nitin Agrawal

Sanaz Ahari

Michael Maxwell Cameron

Yang Yang Zhang

Srinath Reddy Aaleti

Liwei Chen

Andy Lam

Silviu-Petru Cucerzan

Kenneth Alan Moss

Robert L Rounthwaite

Eric David Brill

Oliver Hurst-Hiller

Ramez Naam

Nicholas Eric Craswell

Richard Leigh Mains

Mira Lane

Randall Kern

Eric Michael Schurman

Galen Andrew

Laura J Baldwin

Anthony Tran

Kemp Crockett Peterson

Evan Nicklas Wu Malahy

Natalia Burina

Hemant Banavar

Sooho Park

Joanna Chan

Methods, computer-storage media, and graphical user interfaces are provided for identifying and presenting rich related sites for task-oriented search queries. Upon receipt of a search query input by a user, one or more query logs are analyzed to determine if the search query is a related to a task being performed by the user. If the query is determined to be a task-oriented search query, search results are identified, as is one or more Uniform Resource Locators (URLs) related to a particular search result. The related URL is presented to the user in association with the particular search result. Additional controls, e.g., search tools that facilitate querying of those URLs determined to be relevant to a particular search result, may also be provided to aid the user in performing the task at hand.

Related URLs for task-oriented query results

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

Computer-readable media and computerized methods for identifying candidate points on a graphical depiction of relative popularity of an entity (e.g., entertainer, sports team, and the like) are provided. Points on the graphical depiction are ranked based on a number of user-submitted web queries that reference the entity that are received during a particular time frame. Peak points and slope values (i.e., derived from an angle of inclination of inclines on the graphical depiction) may be captured by analyzing movements in the rank of an entity over time. An algorithmic process may then be applied to the peak points and slope values to determine points of interest of the entity's popularity, such as the highest-ranked periods and/or dramatic positive movements in rank of the entity. These points of interest are selected as candidate points and are surfaced as icons on a visual representation of the graphical depiction.

Identifying on a graphical depiction candidate points and top-moving queries

Search results and associated search-result details are provided in response to user queries. Embodiments include identifying a number of search-result details for different indexed search results, identifying one or more detail-attributes for each search-result detail, and identifying one or more user-attributes for a particular user. These search results, associated search-result details, and associated detail-attributes may be stored in a database. Upon receiving a search query from the user, search results may be generated. Search-result details specific to each search result and specific to the end-user may also be generated by identifying the detail-attributes associated with each search-result detail and the user-attributes associated with the end-user. These search results may then be presented to the end-user. Upon receiving an indication of interest in a particular search result, the search result details may then be presented to the end user.

On-demand search result details

Methods and computer-readable media are provided for displaying a target search result and relevant information on a search results page in response to a user-inputted query on a search page. The target search result and relevant information are identified in a database as having been previously determined to be most relevant to the query, and may be based on past user behavior, for example. The relevant information may include functional tools that include input boxes allowing for the user to interact with a webpage associated with the target search result via the search results page. Once the target search result and relevant information have been determined, the search results page is displayed.

Providing tools for navigational search query results

Described herein is a system that facilitates assigning indications of usefulness to query suggestions. The system includes a query suggestion generator component that receives a query and generates a query suggestion based at least in part upon the received query. A model component outputs an indication of usefulness with respect to the query suggestion, wherein the model component is a machine-learned model of user behavior with respect to query suggestions.

Query suggestion generation

The claimed subject matter provides systems and methods that facilitate providing specialized content associated with web results in response to a user query to provide queried information directly to a user without requiring the user to select a link and/or scroll through information on a web page associated therewith. Reference language models can be generated from multiple queries and can be compared to a query language model generated from web results returned in response to a user query. Based on such comparison, a determination can be made regarding whether a particular portion of specialized content corresponding to some particular query keywords is relevant enough to warrant direct presentation to the user.

Arbitration of specialized content using search results

Presenting a search result to a user. One or more electronic documents are identified based on a search query received from a user. A search result is generated in response to identifying the one or more electronic documents. The search result includes presentation data regarding each of the identified electronic documents. An undesirable content of each of the presentation data of each of the identified electronic documents of the search result is identified. A format attribute of the presentation data of the identified undesirable content is modified. The search result including any modifications is then provided to the user.

Presentation-level content filtering for a search result

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Redmond, WA, United States of America

Jamie Paul Buckley