Abstract
When merging query results from various information sources or from different search engines, popular methods based on available documents scores or on order ranks in returned lists, its can ensure the fast response, but results are often inconsistent. Another approach is downloading contents of top documents for re-indexing and re-ranking to create final ranked result list. This method guarantees better quality but is resource-consuming. In this paper, we compare two methods of merging search results: a) applying formulas to re-evaluate document based on different combinations of returned order ranks, documents titles and snippets; b) Top-Down Re-ranking algorithm (TDR) gradually downloads, calculates scores and adds top documents from each source into the final list. We propose also a new way to re-rank search results based on genetic programming and re-ranking learning. Experimental result shows that the proposed method is better than traditional methods in terms of both quality and time.
Highlights
In the Internet, search engines like Google, Bing, Yahoo provide a convenient mechanism for users to search and exploit information on the Web
We focused solely on re-ranking the results found by the search engines available
Merging techniques can be distinguished based on the types of information used for evaluating, re-ranking search results from sources [3]: server information search; Statistical information: the rank order of the document, the rating provided by the originator; basic information; or the content of the document itself
Summary
In the Internet, search engines like Google, Bing, Yahoo provide a convenient mechanism for users to search and exploit information on the Web. The first is to mix the search results (duplicate documents) of different search engines on the same information space. This method is often applied to "Surface Web". Server description is intended to estimate general information about the original search server such as the number of documents, terms; Frequency of search results returned,. Merging techniques can be distinguished based on the types of information used for evaluating, re-ranking search results from sources [3]: server information search (total number of documents, results returned); Statistical information: the rank order of the document, the rating provided by the originator; basic information (title, abstract); or the content of the document itself.
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