Structure Cognizant Pseudo Relevance Feedback
Arjun Atreya, Yogesh Kakde, Pushpak Bhattacharyya, Ganesh Ramakrishnan · 2013
We propose a structure cognizant framework for pseudo relevance feedback (PRF). This has an application, for example, in selecting expansion terms for general search from subsets such as Wikipedia, wherein documents typically have a minimally fixed set of fields, viz., Title, Body, Infobox and Categories. In existing approaches to PRF based expansion, weights of expansion terms do not depend on their field(s) of origin. This, we feel, is a weakness of current PRF approaches. We propose a per field EM formulation for finding the importance of the expansion terms, in line with traditional PRF. However, the final weight of an expansion term is found by weighting these importance based on whether the term belongs to the title, the body, the infobox