Abstract

Social bookmarking services have become recently popular in the Web. Along with the rapid increase in the amount of social bookmarks, future applications could leverage this data for enhancing search in the Web. This paper investigates the possibilityand potential benefits of a hybrid page ranking approach that would combine the ranking criteria of PageRank with the onebased on social bookmarks in order to improve the search in the Web. We demonstrate and discuss the results of analyticalstudy made in order to compare both popularity estimates. In addition, we propose a simple hybrid search method that combinesboth ranking metrics and we show some preliminary experiments using this approach. We hope that this study will shed new lighton the character of data in social bookmarking systems and foster development of new, effective search applications for theWeb.

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