document: Disambiguating Web appearances of people in a social network Say you are looking for information about a particular person . A search engine returns many pages for that person 's name but which pages are about the person you care about , and which are about other people who happen to have the same name ? Furthermore , if we are looking for multiple people who are related in some way , how can we best leverage this social network ? This paper presents two unsupervised frameworks for solving this problem : one based on link structure of the Web pages , another using Agglomerative\/Conglomerative Double Clustering ( A\/CDC ) -- an application of a recently introduced multi-way distributional clustering method . To evaluate our methods , we collected and hand-labeled a dataset of over 1000 Web pages retrieved from Google queries on 12 personal names appearing together in someones in an email folder . On this dataset our methods outperform traditional agglomerative clustering by more than 20 % , achieving over 80 % F-measure .
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