The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Efficient crawling through URL ordering
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Effective site finding using link anchor information
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Computer
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Micro-blogging as online word of mouth branding
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Evolving social search based on bookmarks and status messages from social networks
Proceedings of the 20th ACM international conference on Information and knowledge management
Twanchor text: a preliminary study of the value of tweets as anchor text
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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Web search engines discover indexable documents by recursively 'crawling' from a seed URL. Their rankings take into account link popularity. While this works well, it introduces biases towards older documents. Older documents are more likely to be the target of links, while new documents with few, or no, incoming links are unlikely to rank highly in search results. We describe a novel system for 'new-Web' search based on links retrieved from the Twitter micro-blogging service. The Twitter service allows individuals, organisations and governments to rapidly disseminate very short messages to a wide variety of interested parties. When a Twitter message contains a URL, we use the Twitter message as a description of the URL's target. As Twitter is frequently used for discussion of current events, these messages offer useful, up- to-date annotations and instantaneous popularity readings for a small, but timely, portion of the Web. Our working system is simple and fast and we believe may offer a significant advantage in revealing new information on the Web that would otherwise be hidden from searchers. Beyond the basic system, we anticipate the Twitter messages may add supplementary terms for a URL, or add weight to existing terms, and that the reputation or authority of each message sender may serve to weight both annotations and query-independent popularity.