Blog: Rank Dynamics

Entries from February 2013

Mention in University of Cambridge / Microsoft Paper on Personalization

February 1st, 2013

This paper, entitled “Personalizing Web Search using Long Term Browsing History,” was submitted to WSDM in 2011, but only recently came to our attention. The authors, Nicolaas Matthijs from the University of Cambridge and Filip Radlinski from Microsoft, write about “a user interest profile using users’ complete browsing behavior,” but we thank them for taking […]

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Tags: Personalization · Research

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Published Research

"Demonstration of Improved Search Result Relevancy Using Real-Time Implicit Relevance Feedback," SIGIR ’09, July 19-23, 2009, Boston, USA.

"Dynamic Ranked Retrieval," WSDM ’11, February 9-12, 2011, Hong Kong, China.

"Understanding How People Interact with Web Search Results that Change in Real-Time Using Implicit Feedback," CIKM ’13, October 27-November 1, 2013, San Francisco, USA.
Real-time Contextualized Search

The mission of Rank Dynamics is to transform search into a dynamic experience where fluid result pages respond to user actions in real time. We develop Dynamic Search, a real-time contextual search technology. By transforming static lists of links into dynamic search pages that automatically and immediately re-order results in response to user behavior signals, searchers are able to more quickly and easily find pertinent information that might otherwise have remained buried as deep as page 100.
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