Within Mobile information retrieval research, context information provides an important basis
for identifying and understanding user's information needs. Therefore search process can …

Mobile search is a significant task in information retrieval and when coupled with context
awareness technologies they can become key tools for mobile users for Web search …

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

Access to relevant information adapted to the needs and the context of the user is a real
challenge. The user context can be assimilated to all factors that can describe his intentions …

The increasing prominence of information arising from a wide range of sources delivered
over electronic media has made traditional information retrieval systems less effective …

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 …

This paper proposes a solution to a problem frequently asked in the field of the information
search on the Web that is the ambiguity of user queries. The exploitation of the current …

A number of existing information retrieval systems propose the notion of query context to
combine the knowledge of query and user into retrieval to reveal the most exact description …

Abstract Situation-Aware User's Interest Prediction aims at enhancing the information
retrieval (IR) capabilities by expanding explicit user requests with implicit user interests, to …

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 …