We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. Rather than re...
In this paper, we propose to model the blended search problem by assuming conditional dependencies among queries, VSEs and search results. The probability distributions of this mo...
As the search engine arms-race continues, search engines are constantly looking for ways to improve the manner in which they respond to user queries. Given the vagueness of Web sea...
Jill Freyne, Barry Smyth, Maurice Coyle, Evelyn Ba...
We study the problem of efficiently computing diverse query results in online shopping applications, where users specify queries through a form interface that allows a mix of stru...
Erik Vee, Utkarsh Srivastava, Jayavel Shanmugasund...
Web search engines help users find useful information on the WWW. However, when the same query is submitted by different users, typical search engines return the same result regar...