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Topic-Sensitive PageRank biases both the query and the relevancy of returned documents based upon the perceived topical context of the query. The query context can be determined based on search history, user-defined input (such as search personalization—try Google Labs Search Personalization if you are interested) or related information in the document from which the query came (if people searched Google from a site search box, for example).
Topic-Sensitive PageRank for each page can be calculated offline. Using an exceptionally coarse topic set (for example, the top level Open Directory Project categories) still allows Topic-Sensitive PageRank to significantly enhance relevancy over using PageRank alone; however, TSPR can be applied more specifically as well.
Originally posted 2008-07-02 02:27:53.Read the rest of this entry »