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            "abstractNote": "The Memento Aggregator currently polls every known public web archive when serving a request for an archived web page, even though some web archives focus on only specific domains and ignore the others. Similar to query routing in distributed search, we investigate the impact on aggregated Memento TimeMaps (lists of when and where a web page was archived) by only sending queries to archives likely to hold the archived page. We profile fifteen public web archives using data from a variety of sources (the web, archives’ access logs, and fulltext queries to archives) and use these profiles as resource descriptor. These profiles are used in matching the URI-lookup requests to the most probable web archives. We define RecallTM(n)Recall_{TM}(n) as the percentage of a TimeMap that was returned using nn web archives. We discover that only sending queries to the top three web archives (i.e., 80 % reduction in the number of queries) for any request reaches on average RecallTM=0.96Recall_{TM}=0.96 . If we exclude the Internet Archive from the list, we can reach RecallTM=0.647Recall_{TM}=0.647 on average using only the remaining top three web archives.",
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                    "firstName": "Yasmin",
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            "abstractNote": "The Internet Archive’s (IA) Wayback Machine is the largest and oldest public Web archive and has become a significant repository of our recent history and cultural heritage. Despite its importance, there has been little research about how it is discovered and used. Based on Web access logs, we analyze what users are looking for, why they come to IA, where they come from, and how pages link to IA. We find that users request English pages the most, followed by the European languages. Most human users come to Web archives because they do not find the requested pages on the live Web. About 65 % of the requested archived pages no longer exist on the live Web. We find that more than 82 % of human sessions connect to the Wayback Machine via referrals from other Web sites, while only 15 % of robots have referrers. Most of the links (86 %) from Websites are to individual archived pages at specific points in time, and of those 83 % no longer exist on the live Web. Finally, we find that users who come from search engines browse more pages than users who come from external Web sites.",
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