Fuse uses an approach called ‘Engine Scoring’ to measure how relevant the relevancy of our search engine is. The basic premise behind this is, that if every time a user performed performs a search and the content they needed was is ranked first 1st in the search results, then we would have a perfectly relevant search engine.
Fuse records every search query and the position of the content clicked on by the user clicked on for that in a search. For example, I you might search for ‘Spring Release 2022’ and click on the 2nd result in the search results.
We measure list. Fuse measures this interaction at scale (a minimum of 10,000 queries and clicks) to generate an engine score.
The table below shows the number of clicks in each result position on the first page of the search results:
In 95% of cases, the user finds what they want on the first page of search results.
75% of the time, the user finds what they want within the first 3 results.
Result page | Result position | Click count | % of total |
|---|---|---|---|
PAGE1: 95% | 1 | 4963 | 47% |
2 | 1865 | 18% | |
3 | 1030 | 10% | |
4 | 655 | 6% | |
5 | 419 | 4% | |
6 | 337 | 3% | |
7 | 238 | 2% | |
8 | 221 | 2% | |
9 | 200 | 2% | |
10 | 165 | 2% |