Topic-Sensitive PageRank pdf
Topi c-Sensitive PageRank PDF Download Various link-based ranking strategies have been developed recently for improving Web-search query results. The HITS term as a bias set for influencing the PageRank computation, with the goal of returning terms for which a given page has a high reputation. An approach for enhancing search rankings by generating a PageRank vector for each possible query term was recently proposed in with favorable results. However, the approach requires considerable processing time and storage, and is not easily extended to make use of user and query context . Our approach to biasing the PageRank computation is novel in its use of a small number of representative basis topics, taken from the Open Directory, in conjunction with a unigram language model used to classify the query and query context. In our work we consider two scenarios. In the first, we assume a user with a specific information need issues a query to our search engine in the conventional way, by enter...
