Clustering for better representation of the diversity of text or image search results has been studied extensively. In this paper, we extend this methodology to the novel domain o...
Search personalization and diversification are often seen as opposing alternatives to cope with query uncertainty, where, given an ambiguous query, it is either preferable to adap...
Semantic relatedness between words is important to many NLP tasks, and numerous measures exist which use a variety of resources. Thus far, such work is confined to measuring simil...
While searching the Web, the user is often confronted by a great number of results, generally sorted by their rank. These results are then displayed as a succession of ordered lis...
Nicolas Bonnel, Alexandre Cotarmanac'h, Annie Mori...
Result diversification has recently attracted much attention as a means of increasing user satisfaction in recommender systems and web search. Many different approaches have been ...