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A Content-Bsed Approach to Relevance Feedback in XML-IR for Content and Structure Queries

The use of structured documents following XML representation allows us to create content and structure (CAS) queries which are more specific for the user’s needs. In this paper we are going to study how to enrich this kind of queries with the user feedback in order to get results closer to their needs. More formally, we are considering how to perform Relevance Feedback (RF) for CAS queries in XML Information Retrieval. Our approach maintains the same structural constraints but expands the content of the queries by adding new keywords to the original CAS query. These new terms are selected by considering their presence/absence in the jugded units. This RF method is integrated in a XML-based search engine and evaluated with the INEX 2006 and INEX 2007 collections.