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Research and Implementation of Meta Search Engine

Author: WangChunYan
Tutor: ZuoWanLi
School: Jilin University
Course: Software Engineering
Keywords: Meta-search engine Members of the search engine Web cancelation Result of the merger Abstract Sort
CLC: TP391.3
Type: Master's thesis
Year: 2011
Downloads: 169
Quote: 0
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Abstract


Meta-search engine With the rapid expansion of the amount of information on the network, by means of the search engine search tools, digging out valuable information from the mass of information. However, existing independent search engine there are many problems, example, limited resources coverage, the result set is large and complex, it can not quickly and easily find out their interest. Different search engines for the same search request, the results returned different users need to switch between different search engines to find a comprehensive and valuable information. Meta-search engine built on the foundation of an independent search engine came into being, it can call more than one member of the search engines, and return the results of a comprehensive treatment, and presented to the user. Meta-search engines have more sources of information, to some extent, improve the retrieval recall and precision, to better meet the needs of the user's search, its application has become increasingly widespread. Members of the search engines often return a large number of search results, however, the differences between the members of the search engines, such as different query parameters, different sort methods as well as the correlation function differences brought to the integration of meta search engines retrieve results difficulties restricting the functionality of a meta-search engine. Key technology research and analysis of the meta-search engine based on the Java language development, as the main development tools to Eclipse, designed and implemented a simple meta-search engine MSE, the main work is as follows: 1. meta-search engine works, the key technology, comparative analysis of these key technologies involved in the algorithm. Members of the meta-search engine search engine scheduling algorithm in-depth study, comparative analysis of some typical algorithms. We developed the system, called the four Baidu, Yahoo, Sogou, Google search engine to search through the analysis of each of the members of the search engine query parameters, in order to solve the problem of differences of query parameters, given the character encoding, query format conversion method, while using the parallel calls, and retrieval time, to ensure the retrieval efficiency. Combine the results of the meta-search engine technology, in-depth study, using a simple dead link detection algorithm, eliminate dead links in Java samefile () method to identify duplicate URL elimination of duplicate pages; Abstract sorting algorithm improvements, the test results show that the algorithm to some extent to improve search results related to and in accordance with the global correlation and consistency Sort search results. System performance analysis, and the results show that the MSE improve the retrieval efficiency to a certain extent, but the members of the search engines scheduling retrieval result of the merger still needs to improve, given below should be improved in the direction of a meta-search engine MSE: system directly call the four members of the search engine, we should be in the select suitable scheduling policy, so that the system can be self-scheduling independent search engine with better performance. Merged in search results, using a more efficient algorithm to eliminate duplicate pages; should be automatic clustering search results, user-friendly search and browse information. 3. Should provide personalized service, combined with a wider range of options to the user feedback learning algorithms, intelligent information filtering in line with user needs.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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