Search engines are a very important web applications used by millions of users around the world on a daily basis to search the Web. Finding relevant information in this growing space is challenging, and is complicated by the diversity and needs of the community of Web users. Indeed, the Web is one, but the needs of users are multiple and different. Thus, information relevancy is not only related to the formulated query, but also to the user who is formulating this query. For example, user sensitivities may enhance information relevancy. In this paper, we are proposing to derive a formal model of user sensitivities integration into search engines. © 2013 The Authors. Published by Elsevier B.V.
Adda, M. (2013). A formal model of information retrieval based on user sensitivities. In Procedia Computer Science (Vol. 19, pp. 428–436). Elsevier B.V. https://doi.org/10.1016/j.procs.2013.06.058