Towards a synthetic analysis of user's information need for more effective personalized filtering services
Randa Kassab, Jean-Charles Lamirel · 2007
The consideration of underlying analysis of user's information need is a key requirement in an intelligent filtering environment. However, the majority of current approaches to filtering are relevance-oriented, rather than user-oriented. This is partly because they are issued from fields that have somewhat different perspectives from that of information filtering, but also because of the difficulty of understanding and measuring user's motivations and the way in which the user expects the system to respond.