document: Evaluating strategies for similarity search on the web Finding pages on the Web that are similar to a query page ( Related Pages ) is an important component of modern search engines . A variety of strategies have been proposed for answering Related Pages queries , but comparative evaluation by user studies is expensive , especially when large strategy spaces must be searched ( e.g. , when tuning parameters ) . We present a technique for automatically evaluating strategies using Web hierarchies , such as Open Directory , in place of user feedback . We apply this evaluation methodology to a mix of document representation strategies , including the use of text , anchor-text , and links . We discuss the relative advantages and disadvantages of the various approaches examined . Finally , we describe how to efficiently construct a similarity index out of our chosen strategies , and provide sample results from our index .
doc_bio_tags: O O O O B O O O O O O O O O O O O O O O O B I O O O O O O O B O O O O O O O O O O O B I O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O