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| PRODUCTS | SOURCER'S DESK |
Search Engine Rankings
The top five search engines are loosely ranked by comparing results of four different recruitment-related keyword searches. This not a comprehensive shootout. Statistics search engines use can be misleading or interpreted in many different ways. This is intended only as a quick checkup to indicate how relevant these search engines are to recruiting.
| Keywords | ||||||
|---|---|---|---|---|---|---|
| Rank | Engine | Resume | Fabless* | CyberSleuthing | Pharmacobiology* | NCRAF* |
| 1 | Google: | 6,950,000 | 25,600 | 471 | 42 | 96 |
| 2 | Fast: | 6,941,294 | 19,224 | 457 | 34 | 30 |
| 3 | Wisenut: | 3,863,670 | 12,306 | 217 | 13 | 22 |
| 4 | AltaVista: | 2,992,446 | 6,981 | 207 | 13 | 40 |
| 5 | Teoma: | 1,360,000 | 5,220 | 124 | 8 | 19 |
*Fabless is a unique term used to describe semiconductor companies who don't manufacture their own product, thus they are called Fabrication-less or Fabless for short. *Pharmacobiology is a rare term used in only a few medical universities. NCRAF is the North Carolina Regulatory Affairs Forum. SUGGEST OTHER TERMS TO COMPARE HERE.
Search Engine Overlap
Overlap Matrix: This analysis is based on 78 total results from the top five engines using the keyword "Pharmacobiology."
| Search Engine | Total Results Per Search Engine | Overlapping Results | Unique Results | Percentage Overlap |
|---|---|---|---|---|
| Google: | 31 | 19 | 12 | 61% |
| Fast: | 23 | 12 | 11 | 52% |
| AltaVista: | 12 | 9 | 3 | 75% |
| Teoma: | 8 | 7 | 1 | 88% |
| Wisenut: | 11 | 10 | 1 | 90% |
This pie chart displays how many results each of the top five search engines
returned. Notice that Google is the winner here with 37% of the total results
added from all five searches. Having returned 31 results in this test, it
beat all the others in sheer volume. The runner-up in terms of amount of
results is Fast (AllTheWeb). The amount of results becomes even more significant
when we represent how unique each search engine's results are in comparison with
the others in this test.
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This pie chart uses the same color coding key as the one in the left. Here
you see that Fast wins by having the least percentage of overlap. Overlap
is measured in terms of how many of the results are repeated in one or more
search engines. The amount of duplicate results for each engine is divided
by the total number of results from that search engine to arrive at a
percentage. The values on this chart represent the percent of duplicates
versus unique results. The runner-up in this test is Google.
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This bar graph demonstrates the amount of total results per search engine
compared to how many duplicate or overlapping results it found. The shorter
the distance from the top of the red bar to the top of the gray bar means
the fewer unique results were found in this test. For recruitment purposes,
not only is the volume of pages indexed by a search engine important, but
also the abundance of unique URLs among its results. This is only one test
based on one keyword and so by no means is it a comprehensive analysis. Based
on this single text it can be inferred that Google and Fast (AllTheWeb) offer
better searching for recruitment purposes.
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