Abstract
Generally speaking, horizontal search engines are meant to deal with general web queries. In the context of this chapter, the authors investigated the act of navigational resource identification in the light of horizontal web searching. State-of-the-art navigational resource identification is reluctant to the distinct characteristics of the navigational queries and specific users' treatments toward different searching tasks. Consequently, in this chapter, the authors discussed a new mechanism for navigational resource identification according to previous findings.
TopNavigational Resource Identification
In this chapter we proposed a framework which uses former findings from Web usage analyses and other evidences in order to more effectively perform navigational resource identification. To make it feasible to crawl a subset of Web collection and to make this study more concise, we only considered navigational queries which are within the topic of computer.
As we stated previously, state-of-the-art is reluctant to use URL information more effectively in the process of navigational resource identification while earlier studies showed that URL information carries crucial information about the corresponding Web page.
Our proposed method has two stages; in first stage we build a URL lattice and apply formal concept analysis (FCA) over the corresponding lattice to make a list of URL candidates. Second stage is where we introduced a weighting algorithm to rank URL candidates based on their <URL, Keyword> dependency.