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205 in Figure 9.1. To do so, PeerSpective modifies the returned HTML from Google in order to include the PeerSpective results. Thus, to use PeerSpective, the user does not have to do any work, beyond the initial setup of PeerSpective. The PeerSpective index is populated as the user browses the Web normally, and Web search results are automatically inserted into the Google results page. Figure 9.1 : Screenshot of our PeerSpective search interface. Results from the dis- tributed cache appear alongside the normal Google results. Our PeerSpective implementation is built using the Lucene [98] text search engine and the FreePastry [54] peer-to-peer overlay. We configured Lucene to follow Google’s query language, so that search qualifiers such as ‘+’, ‘-’, and quotes would be consis- tent across both systems. We also configured Lucene to automatically remove pages older than 30 days in order to prevent the index from getting stale. We ranked the results obtained from PeerSpective by multiplying the Lucene score of a search result by the Google PageRank of that result and adding the scores from all users who previously viewed the result. Thus, PeerSpective’s ranking takes advantage of both the hyperlinks of the Web (via Google’s PageRank) and the social links of the user community.PDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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