Yahoo! Inc.

Excalibur Ip, LLC

Vik Singh

Su-Lin Wu

Ashish Kumar Shukla

Deepak Agarwal

Liang-Yu (Tom) Chi

John Thrall

Bee-Chung Chen

Deepa Joshi

Amitabh Seth

Mike Wexler

Raghu Ramakrishnan

Nitin Motgi

Howard Scott Roy

Pradheep K Elango

Vijay Krishna Narayanan

Tom Chi

Ingrid Lestiyo

Ethan Kan

Joe Zachariah

Sharat Israni

Chandar Venkataraman

Amit Phadke

Michael Salisbury

The present invention is directed towards a method and system for processing a real time increase in search requests for a common event. The method and system includes detecting an activity spike in user search request activity based on monitoring of user search requests over a defined period of time and determining source locations associated with the activity spike based on user search result activities. The method and system further includes associating the source locations with the user search request and thereupon applying a machine-learning model to determine a plurality of common features operative to cause the activity spike, including determining associations between the source locations and the activity spike.

System and method for determining an authority rank for real time searching

A system and method are disclosed for identifying and generating a potential user trail. The trail may be an anticipated browsing path for a user based on current and/or historical browsing data, including search logs, browsing histories, and other data. The trail may be displayed as a search result summary or with individual search results in response to receiving a search query.

System and method for trail identification with search results

The present invention provides a method and system for customized search results in an advanced search results page including vertical searching pivot points for personalizing and refining searching operations. The method includes tracking user network activities and receiving a search query from the user, the search query including a plurality of search terms. The method and system includes identifying a plurality of preferred content sources based on the tracked network activities and retrieving content items in response to the search query. The method and system filters the content items based on the preferred content sources and therein generates a search result page displaying at least a portion of the filtered content items and at least one of the preferred content sources, wherein the display of the at least one preferred content source allows the user to pivot the search results portion based solely on the preferred content source.

Systems and methods for personalized search sourcing

The present invention provides a method and system for receiving a user privacy preference that indicates an amount of activity information that the user is willing to share in response to a reward, a value of the reward related to a degree of the user privacy preference. The method and system includes setting a privacy setting for the user based on the received user privacy preference. The method and system further includes tracking web browsing activity of the user during one or more web-browsing sessions based on the privacy setting to generate user activity information. The method and system further includes sending the user activity information and providing a reward to the user based on the user activity information sent.

System and method for rewarding a user for sharing activity information with a third party

The present invention provides for a computerized method and system for presenting geolocated relevance-based content including determining a geographic location of a mobile processing device and identifying a plurality of search queries associated with the geographic location of the mobile processing device. The computerized method and system further includes generating at least one search result responsive to at least one of the plurality of queries associated with the geographic location of the mobile processing device. Therefore, in the method and system, the mobile processing device is presented with one or more search results based on the geographic location of the mobile processing device.

System and method for presenting geolocated relevance-based content

Methods for optimizing webpage content by micro-bucket testing user customization to the webpage include presenting a plurality of modules at a webpage based on a request from a user. The modules define an intent of the webpage. A change defining customization to one or more modules within the webpage is detected. A test case representing the change is automatically generated. The generated test case is a modified webpage having the customization. The webpage is presented to a first segment of users as a control page and the modified webpage is presented to a second segment of users in response to a request for the webpage. User interaction by the first and segment of users is monitored at the webpage and the modified webpage to determine website metrics of the corresponding webpages. The website metrics is used in defining a new control page of the webpage from the modified webpage or retaining the webpage as the control page.

Micro-bucket testing for page optimization

A method and apparatus for customizing content presented to individual users or user segments is provided. There may be three components, a web portal and toolbar component, a modeling component, and a scoring component. The web portal and toolbar component presents content items and collects data. The web portal and toolbar component generates user event data based on the user actions. The user event data is forwarded to the modeling component. The modeling component generates content scoring functions based on user event data and attributes of content items. Content scoring functions may be unique to individual user segments. The content scoring functions based on content features generate probability a content item will be viewed. The scoring component decides which content items are placed in a portal. The scoring component uses the scoring functions generated by the modeling component to rank content items in real time.

Customized today module

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San Jose, CA, United States of America

Vik Singh