Selective Relevance Feedback Using Term Characteristics
Ian Ruthven, Mounia Lalmas · Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) · 1999
: This paper presents a new relevance feedback technique; selectively combining evidence based on the usage of terms within documents. By considering how terms are used within documents, we can better describe the features that might make a document relevant and thus improve retrieval effectiveness. In this paper we present an initial, experimental investigation of this technique, incorporating new and existing measures for describing the information content of a document. The results from these experiments positively support our hypothesis that extending relevance feedback to take into account how terms are used within documents can improve the performance of relevance feedback. 1. Introduction The particular characteristics of digital libraries - large, diverse collections - mean that the access methods to these collections must support how users search for information. In particular, access methods must provide a wider range of techniques to allow the user to specify what makes an ...