In this paper we study the modelling of consensus reaching in a ‘soft’ environment, i.e. when the individual testimonies are expressed as fuzzy preference relations. Here cons...
Mario Fedrizzi, Michele Fedrizzi, Ricardo A. Marqu...
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...
Search engine advertising has become the main stream of online advertising system. In current search engine advertising systems, all users will get the same advertisement rank if t...
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
Users’ critiques to the current recommendation form a crucial feedback mechanism for refining their preference models and improving a system’s accuracy in recommendations that ...