Application of Localized Similarity for Web Documents

In this paper we present a novel approach to automatic creation of anchor texts for hyper-links in a document pointing to similar doc-uments. 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 dif-ferent methods from information retrieval and natural language processing are adapted for this task. Automatically constructed anchor texts are manually evaluated in terms of relat-edness to linked documents and compared to baseline consisting of originally inserted an-chor texts. Additionally we use crowdsourc-ing for evaluation of original anchors and au-tomatically constructed anchors. Results show that our best adapted methods rival the preci-sion of the baseline method.