Weighted-Position and Abstract Ranking Algorithm Based on User Profile for Metasearch Engine
Qiang Li, Qin Chen, Rongbo Wang · 2009
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.