Sanaz Ahari - Kirkland WA, US Xiaoxin Yin - Bothell WA, US Farid Hosseini - Redmond WA, US Sarthak Shah - Kirkland WA, US Adam Troy - Redmond WA, US Daniel C. Fain - Redmond WA, US Brian MacDonald - Bellevue WA, US Nikhil Dandekar - Seattle WA, US Michael Cameron - Redmond WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 7/00 G06F 17/30
US Classification:
707722, 707723, 707731
Abstract:
Computer-readable media and computerized methods for automatically organizing search results according to task groups are provided. The methods involve aggregating a gallery of entities (e. g. , search queries that share a common categorization) into a query class and assigning a dictionary (e. g. , list of terms that are drawn from various sources) to the query class. The task groups are identified from the list of terms within the dictionary. The process of identification includes analyzing patterns of user search behavior to select terms from the list of terms, which reflect popular user search intents, and ranking the selected terms based on predetermined parameters to produce an ordering. Based on the ordering, a set of the selected terms that are highest ranked are declared the task groups. The task groups are employed to arrange the search results on a UI display and to provide a consistent and intuitive format for refining a search.
Nitin Agrawal - Redmond WA, US Tabreez Govani - Mukilteo WA, US Jamie P. Buckley - Redmond WA, US Michael Maxwell Cameron - Redmond WA, US Liwei Chen - Seattle WA, US Hugh Evan Williams - Redmond WA, US Sanaz Ahari - Kirkland WA, US Yang Yang Zhang - Bellevue WA, US Srinath Reddy Aaleti - Redmond WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 17/30
US Classification:
707769
Abstract:
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.
Identifying Task Groups For Organizing Search Results
Sanaz Ahari - Kirkland WA, US Xiaoxin Yin - Bothell WA, US Farid Hosseini - Redmond WA, US Sarthak Shah - Kirkland WA, US Adam Troy - Redmond WA, US Dan Fain - Redmond WA, US Brian MacDonald - Bellevue WA, US Nikhil Dandekar - Seattle WA, US Michael Cameron - Redmond WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 7/00 G06F 17/30
US Classification:
707722, 707723, 707731
Abstract:
Computer-readable media and computerized methods for automatically organizing search results according to task groups are provided. The methods involve aggregating a gallery of entities (e. g. , search queries that share a common categorization) into a query class and assigning a dictionary (e. g. , list of terms that are drawn from various sources) to the query class. The task groups are identified from the list of terms within the dictionary. The process of identification includes analyzing patterns of user search behavior to select terms from the list of terms, which reflect popular user search intents, and ranking the selected terms based on predetermined parameters to produce an ordering. Based on the ordering, a set of the selected terms that are highest ranked are declared the task groups. The task groups are employed to arrange the search results on a UI display and to provide a consistent and intuitive format for refining a search.
Kieran Richard McDonald - Seattle WA, US Ran Gilad-Bachrach - Bellevue WA, US Nipoon Malhotra - Redmond WA, US Nitin Agrawal - Redmond WA, US Sanaz Ahari - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 7/00
US Classification:
707706
Abstract:
Technologies are described herein for placing search results on a search engine results page (SERP). A query may be received. The query may be transmitted to a plurality of search result providers. A first set of search results and a second set of search results may be received from the search result providers. Intent features may be extracted from the first set of search results. User intent of the second set of search results may be inferred based on the extracted intent features. The first set of search results and the second set of search results may be ranked based on the inferred user intent. The SERP may be rendered according to the ranked first set and second set of search results.
Providing Targeted Information For Entertainment-Oriented Searches
JUSTIN DENNEY - Seattle WA, US CRISTINA A. COLBY - Seattle WA, US JAMES T. CLARK - Duvall WA, US AJAY NAIR - Redmond WA, US SANAZ AHARI - Seattle WA, US RICHARD QIAN - Sammamish WA, US SALLY SALAS - Issaquah WA, US MAURICIO LOMELIN - Seattle WA, US JAMIE BUCKLEY - Redmond WA, US JOANNA CHAN - Seattle WA, US NICHOLAS E. CRASWELL - Cambridge, GB TABREEZ GOVANI - Mukilteo WA, US TRUNG T. TRAN - Seattle WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 7/06 G06F 17/30
US Classification:
707 5, 707 3, 707E17014, 707E17108
Abstract:
Systems and methods for providing immediate access to comprehensive information and answers on a set of related search engine results pages for common searches executed in the entertainment domain relating to, for instance, music, musicians, movies and celebrities. Upon receipt of a keyword-based search query, a decision is made regarding what the user actually wanted to see as a search result. This information is then automatically presented in a dedicated region of the keyword search results page, typically with links to more refined information. Upon selection of a link, the refined information is also displayed in a dedicated region of the keyword search results page. In this way, the user does not have to navigate multiple, different user interfaces on a variety of different web sites in order to view the information desired.
Providing Comparison Experiences In Response To Search Queries
Computer-readable media, computer systems, and computing devices facilitate providing a comparison experience to a user in response to a search query. Upon receiving a search query from the user, entities are extracted from the query. The entities are associated with entity classes. The entities, entity classes, previous user behavior, and other information are used to infer whether the user likely is engaging in a comparison task. If the inference indicates that the user likely is engaging in a comparison task, a comparison experience is generated and access to the comparison experience is provided to the user.
CHRISTOPHER AVERY MEYERS - KIRKLAND WA, US GOPI PRASHANTH GOPAL - REDMOND WA, US ANDREW PETER OAKLEY - SEATTLE WA, US NITIN AGRAWAL - REDMOND WA, US NICHOLAS ERIC CRASWELL - REDMOND WA, US MILAD SHOKOUHI - CAMBRIDGE, GB DERRICK LESLIE CONNELL - BELLEVUE WA, US SANAZ AHARI - KIRKLAND WA, US NEIL BRUCE SHARMAN - SAMMAMISH WA, US GAURAV SAREEN - SAMMAMISH WA, US HUGH EVAN WILLIAMS - SARATOGA CA, US JAY KUMAR GOYAL - BELLEVUE WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 17/30 G06F 21/00 G06Q 30/00
US Classification:
707722, 726 23, 705 1452, 707E17014
Abstract:
Methods, systems, and media are provided for identifying and clustering queries that are rising in popularity. Resultant clustered queries can be compared to other stored queries using textual and temporal correlations. Fresh indices containing information and results from recently crawled content sources are searched to obtain the most recent query activity. Historical indices are also searched to obtain temporally correlated information and results that match the clustered query stream. A weighted average acceleration of a spike can be calculated to distinguish between a legitimate spike and a non-legitimate spike. Legitimate clusters are combined with other stored clusters and presented as grouped content results to a user output device.
KRISHNA GADE - REDMOND WA, US ANDREY YEGOROV - REDMOND WA, US JOANNA CHAN - REDWOOD CITY CA, US DANIEL C. FAIN - REDMOND WA, US SANAZ AHARI - BELLEVUE WA, US NITIN AGRAWAL - REDMOND WA, US
Embodiments of the invention disclose an advertisement or segment of a webpage that displays suggested search queries as selectable links. Suggested queries may be based on content associated with the webpage, or the description of the webpage (such as a URL), or default suggestions. In one example, content of a page is crawled for terms that are mapped to suggested queries. Queries may be represented as textual links or multimedia images embedded in pages accessed over a network, and selection of a query may direct or enhance search engine traffic.
Google - Kirkland, WA since Jul 2011
Senior Product Manager
Microsoft Corp Dec 2006 - May 2011
Principal Group Program Manager (Bing)
Microsoft Corp Feb 2006 - Dec 2006
Lead Program Manager (Live.com)
Microsoft Corp Nov 2005 - Feb 2006
Program Manager (Live.com)
Microsoft Corp Feb 2005 - Nov 2005
Program Manager (Start.com)
Skills:
Search Engine Technology Product Development Strategic Thinking Product Management Product Planning SaaS JavaScript Display Advertising Online Advertising Strategy Leadership Program Management Agile Project Management Strategic Partnerships Predictive Analytics Digital Marketing Start-ups Big Data Business Intelligence Distributed Systems Marketing Analytics Scalability Software Design Executive Management Agile Methodologies
Flickr
Youtube
Keynote: Sanaz Ahari, Google - How Viewabilit...
Keynote: Sanaz Ahari, Google How Viewability is Changing the Way We Se...
Duration:
58m 6s
Sanaz Ahari and Steve Rider - Start.com
Originally uploaded Jul 21, 2005 by scobleizer After shooting this int...
Duration:
31m 40s
Sanaz Ahari
... ... call : 0912 049 5310 instagram.com/sa...
Duration:
1m
Sanaz Ahari - Extension
... ... ... instagram.com/sa...
Duration:
41s
Sanaz Ahari with Elham Hamidi
... ... ... instagram.com/sa...
Duration:
57s
Making the Web Work for Brand Marketers
Brian Zeug, Industry Director, and Sanaz Ahari, Senior Product Manager...
Duration:
2m 1s
OfficeMove
Bing team office move.. packing up in B88 getting ready for the move t...
Duration:
1m 46s
Sanaz Ghajar | BK Live | 3.1.16
This video is from BRIC TV the first 24/7 television channel created b...
Duration:
9m 45s
News
Bing now taps user location, history for relevance
Joining the location feature is a tweak to how the search engine orders results on searches that have been done in the past. If you had clicked on a result lower down from the top, Bing will put it at the top the next time you do that same search. In a blog post outlining some of the changes, Aidan Crook and Sanaz Ahari from Bing's search team said that the reason for changing this particular behavior is that when users are searching to find particular sites by name, they tend to do the same thing when they do the search again.