Title :
Processing and fusion of meta-search engine retrieval results
Author_Institution :
Sch. of Comput. Sci., Xi´an Univ. of Finance & Econ., Xi´an, China
Abstract :
Meta-search engine will search a number of requests submitted to the members of the search engine and search pages to a certain degree of priority in accordance with the relationship between the order and display to the user. How the members of the results of a search engine organic blend to further enhance the meta-search engine precision of the meta search engine is of great significance. This paper description Meta-search engine retrieval results of collection process, such as the choice of the retrieval source; the rules of the retrieval, processing and retrieval results. Fuzzy integral algorithm uses various information sources to provide the right value information and decision-making process to provide the necessary data, this type of information fusion to solve information retrieval and processing of uncertainty.
Keywords :
decision making; fuzzy set theory; information retrieval; search engines; decision making process; fuzzy integral algorithm; information fusion; information retrieval; meta search engine retrieval results; Computers; Engines; Feature extraction; Google; Metasearch; Nickel; Search engines; Fuzzy Integral; Meta-search Engine; Ranking algorithm; Result Fusion;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5778186