Analysis of anchor text for web search
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Just-in-time recovery of missing web pages
Proceedings of the seventeenth conference on Hypertext and hypermedia
A Tool to Compute ReliableWeb Links and Its Applications
ICDEW '05 Proceedings of the 21st International Conference on Data Engineering Workshops
PageChaser: A Tool for the Automatic Correction of Broken Web Links
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Proceedings of the 18th ACM conference on Information and knowledge management
Web spam detection: new classification features based on qualified link analysis and language models
IEEE Transactions on Information Forensics and Security
Updating broken web links: An automatic recommendation system
Information Processing and Management: an International Journal
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In this short note we present a recommendation system for automatic retrieval of broken Web links using an approach based on contextual information. We extract information from the context of a link such as the anchor text, the content of the page containing the link, and a combination of the cache page in some search engine and web archive, if it exists. Then the selected information is processed and submitted to a search engine. We propose an algorithm based on information retrieval techniques to select the most relevant information and to rank the candidate pages provided for the search engine, in order to help the user to find the best replacement. To test the different methods, we have also defined a methodology which does not require the user judgements, what increases the objectivity of the results.