Personalized Results Merging Algorithm Based on User Profile for Meta Search Engine
Zheng Dong-dong · Microelectronics & Computer · 2006
Meta search engines are proposed to increase the search coverage by combining several search engines. However, the problem of the information overload becomes more severe and most returned results are irrelevant to user’s interests. That affects the retrieval quality and increases the user cost. For settling this problem, an algorithm of results merging based on user profiles is brought forward. It provides users with suitable results by removing the reduplicate results and estimating the similarity between results and user query. We build a system (PMSE), researches and experiments are carried out on PMSE show the strategy can promotes the effectiveness and efficiency of retrieval.