The user's search history includes some latent semantics that can be used to improve the
user's interests representation. In this paper we present a personalized information retrieval …

The objective of personalized information retrieval systems is to infer the real user
information need hidden behind his query, and then tailor the search results to this need …

Several works in user-centered personalized information retrieval treat independently the
user's mobile and social contexts, and they develop and exploit separately the social and …

The user-centred information retrieval needs to introduce semantics into the user modelling
for a meaningful representation of user interests. The semantic representation of the user …

It is widely assumed that exploiting multiple sources of evidence in information retrieval
approaches allows improving the search accuracy. For instance personalized information …

Personalized content retrieval aims at improving the retrieval process by taking into account
the particular interests of individual users. However, not all user preferences are relevant in …

In order to answer the query, a search engine has to find full-text matches in the background
document corpus and then order the documents so that the more relevant results are placed …

Available user-generated content provides a huge opportunity to contextualize and improve
search and navigational processes. Currently, the huge amount of available social data …

We introduce a novel situation-aware approach to personalize search results for mobile
users. By providing a mobile user with appropriate information that dynamically satisfies his …

Nowadays, web content consumers may face choice overload with regard to the huge
amount of resources available on services or content providers' platforms. Moreover, the …