Existing search engines contain the picture of the Web from the past and their ranking algorithms are based on data crawled some time ago. However, a user requires not only relevan...
Abstract. There is a significant commercial and research interest in locationbased web search engines. Given a number of search keywords and one or more locations that a user is in...
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
We have developed a new statistical timing analysis approach that does not impose any assumptions on the nature of manufacturing variability and takes into account an arbitrary mo...
Jennifer L. Wong, Azadeh Davoodi, Vishal Khandelwa...
Queries over XML documents challenge search engines to return the most relevant XML components that satisfy the query concepts. In a previous work[6] we described an algorithm to ...