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Combining Information from Multiple Internet Sources

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This part will present the summary of comparison tests. The conclusions which appeared<br />

after each part of comparison will be summarized here.<br />

Auction method is a method which is highly dependent on each separate single result sets of<br />

search engines rather than the combined view of all search engines. The results presented here<br />

show, that no matter if the URL is in many result sets of the search engines, it may not still be taken<br />

as a part of the final result. Instead, a lot of URLs are returned, which appear in only one of the<br />

result sets provided by search engines. Game theory method also has the tendencies to not to take<br />

the whole combined view of the search engines into the final result. However, if an URL was at the<br />

top most places of more than one result set provided by search engines, it probably will be<br />

incorporated (with high probability) into the final result set provided by this method. It may not be<br />

the average place of such URL, but still it probably will appear somewhere at the bottom of the list.<br />

Consensus method in general returned the results which are the most common view of the search<br />

engines. However in three tested cases all result sets which were returned were inconsistent<br />

according to consensus theory. This happens probably due to the high position-wise URL dispersion<br />

throughout the result sets. There are situations where an URL is, for instance, on the 1 st place in one<br />

result set on the 6 th place in another result set and on the 3 rd . This results in Levenshtein distance to<br />

be very large and thus resulting in result sets being dispersed. Nevertheless if one was not to take<br />

the consistency into account, the Consensus method provided the results which are best overall.<br />

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