Weighted-Position and Abstract Ranking Algorithm Based on User Profile for Metasearch Engine

To improve search precision, a model of personalized meta-search engine is presented. In this model, a query result ranking algorithm called Weighted-Position & Abstract Ranking based-on User Profile (WPARUP) is proposed, which integrates these threes factors: global similarity between query result´s abstract and the query, the position information of query results, the relevance between member search engine and the user´s search topic. The results illustrate that the ranking algorithm can perfectly rank high relevancy results on query in the front of the list, thus improve the search precision.