Context search enhanced by readability index

Abstract

Context search is based on gathering information about user's sphere of interest before the search process. This information defines context and augments search query in subsequent phases of search to attain better search results. There are several basic methods for context enhanced searching. The main idea of them is to extract keywords of the found document and compare them with those from the context. The keyword recognition process is difficult to describe in a formally complete way. The context search based on it may, but also may not attain better search results. We propose a modification of the context search by broadening the scope of kinds of attributes, i.e. to consider also implicit attributes rather than only keywords (i.e., explicit ones). Our hypothesis is that it will enable the context search method to fetch more relevant results. This work analyzes the relation between readability index of a document and its content. Improvement idea is based on the kind of knowledge which is difficult to express by keywords, e.g., the fact that user is looking for fairy tales rather than science articles. © 2008 International Federation for Information Processing.