Most traditional Information Retrieval (IR) systems, including web search engines, operationalize “relevant” as the word frequency in a document of a set of keywords. Because ...
Hyun Woong Shin, Eduard H. Hovy, Dennis McLeod, La...
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
Spearman’s footrule and Kendall’s tau are two well established distances between rankings. They, however, fail to take into account concepts crucial to evaluating a result set...
An expert finding is a very common task among enterprise search activities, while its usual retrieval performance is far from the quality of the Web search. Query modeling helps t...