2009/07/14 by Martin Klein, Michael L. Nelson, Klein, Martin +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Digital Libraries (cs.DL) #FOS: Computer and information sciences #H.3.3 #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #Machine Learning in Bioinformatics #Text and Document Classification Technologies #Web Data Mining and Analysis
paper · pdf · doi:10.48550/arxiv.0907.2268
openalex publication_date 2009/07/14 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/28
Missing web pages (pages that return the 404 "Page Not Found" error) are part\nof the browsing experience. The manual use of search engines to rediscover\nmissing pages can be frustrating and unsuccessful. We compare four automated\nmethods for rediscovering web pages. We extract the page's title, generate the\npage's lexical signature (LS), obtain the page's tags from the bookmarking\nwebsite delicious.com and generate a LS from the page's link neighborhood. We\nuse the output of all methods to query Internet search engines and analyze\ntheir retrieval performance. Our results show that both LSs and titles perform\nfairly well with over 60% URIs returned top ranked from Yahoo!. However, the\ncombination of methods improves the retrieval performance. Considering the\ncomplexity of the LS generation, querying the title first and in case of\ninsufficient results querying the LSs second is the preferable setup. This\ncombination accounts for more than 75% top ranked URIs.\n