Application of Localized Similarity for Web Documents
Peter Reberšek, Mateja Verlič · 2013
In this paper we present a novel approach to automatic creation of anchor texts for hyperlinks in a document pointing to similar documents.Methods used in this approach rank parts of a document based on the similarity to a presumably related document.Ranks are then used to automatically construct the best anchor text for a link inside original document to the compared document.A number of different methods from information retrieval and natural language processing are adapted for this task.Automatically constructed anchor texts are manually evaluated in terms of relatedness to linked documents and compared to baseline consisting of originally inserted anchor texts.Additionally we use crowdsourcing for evaluation of original anchors and automatically constructed anchors.Results show that our best adapted methods rival the precision of the baseline method.