Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
385600 | Expert Systems with Applications | 2011 | 4 Pages |
When a query is passed to multiple search engines, each search engine returns a ranked list of documents. Researchers have demonstrated that combining results, in the form of a “metasearch engine”, produces a significant improvement in coverage and search effectiveness. This paper proposes a linear programming mathematical model for optimizing the ranked list result of a given group of Web search engines for an issued query. An application with a numerical illustration shows the advantages of the proposed method.
► Formulates the problem of aggregation multiple search engines results using a linear programming model. ► Emphasizes on the role of finding the optimal weights in the process of aggregation. ► Gives a numerical illustration for aggregation of search engines resulted documents.