With the advent of Web 2.0 tagging became a popular feature. People tag diverse kinds of content, e.g. products at Amazon, music at Last.fm, images at Flickr, etc. Clicking on a t...
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...
Vitor R. Carvalho, Jonathan L. Elsas, William W. C...
: The explosive growth of the World Wide Web, and the resulting information overload, has led to a miniexplosion in World Wide Web search engines. This mini-explosion, in turn, led...
In search engines, ranking algorithms measure the importance and relevance of documents mainly based on the contents and relationships between documents. User attributes are usual...
In a social news website people share content they found on the web, called news, then vote for those they like the most. Voting for a news is then considered as a recommendation,...
Thomas Largillier, Guillaume Peyronnet, Sylvain Pe...