Combining Information from Multiple Internet Sources
Combining Information from Multiple Internet Sources
Combining Information from Multiple Internet Sources
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Table 4.2.5 Results of Consensus method and search engines for more complex query<br />
10 http://www.madison.k12.ct.us/publication<br />
s/shareddesic.htm<br />
Consensus Ask.com Live Interia Yahoo! Google<br />
Set Coverage 50% 30% 70% 40% 60%<br />
URL to URL 0% 20% 0% 0% 0%<br />
Table 4.2.6 Coverage of Consensus method and search engines for more complex query<br />
It can be observed that the answer of Consensus method covers in some extent every engine.<br />
The most covered engine is Interia (70% set-coverage) while the Live engine is the least setcovered<br />
one (30%). URL to URL coverage is very low – that is why the final result was considered<br />
as inconsistent. As stated before, Levenshtein distance is highly dependent on URL positions, thus<br />
leading to the large distances between each of the engines’ result sets and the consensus answer.<br />
Consensus method is highly rank based one. Like in the previous example, the URLs which<br />
the final result set is comprised of, are highly ranked URLs in general. So if the URL was on the top<br />
places throughout the engines’ result sets it will be contained in the final answer of the Consensus<br />
method. If the ranking was low, it will not be contained as its average rank will be very low.<br />
The problem with consistence of the answer is like with the previous case. Low URL to<br />
URL coverage, results in Levenshtein distance to grow, thus leading the average of distances to<br />
grow. The URL to URL coverage also means that the result sets were highly dispersed when<br />
measuring distances using Levenshtein distance. If the URL to URL coverage was about 60-80%<br />
for each search engine, probably the answer would be marked as consistent.<br />
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