Information retrieval can benefit from contextual information to adapt the results to a user’s current situation and personal preferences (profile). For example, performing the same query in different contexts often leads to different result rankings. Hence, semantics-based information retrieval is especially challenging because a change in context has an impact on the knowledge base content. In the context of information retrieval, the impact of a contextual aspect on the query results determines its relevance. In this sub-topic, we study the problem of identification of relevant contextual information and his effect (or influence) on the performance of an information retrieval system. Our goal is to achieve high recall and precision for a given user in a specific situation.
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