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Recall
Precision
M. Sc. Johannes Schildgen2016-06-09
[email protected]
and
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HariboogleColor-Rado
Search
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Hariboogle
Search
Color-Rado
42 Results in 0,002 Seconds ?
?
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Shouldbe
found
Was found
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Relevant Found
5 1414246
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Relevant Found
5 141
Precision: |𝑹∩𝑭|
|𝑭|
4246
=𝟒𝟏
𝟒𝟐= 0,98 = 98%
„How many % of the found items are relevant?“
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Hariboogle
Search
Precision: |𝑹∩𝑭|
|𝑭|= 1 Perfect!
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HariboogleColor-Rado
Suche
Precision: |𝑹∩𝑭|
|𝑭|= 1 Perfect!
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Precision: |𝑹∩𝑭|
|𝑭|= 1 Perfect!
No rubbish
Only a few results
1 result
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Improve Precision
• Find less rubbish (=> Relevance Feedback)
Precision: |𝑹∩𝑭|
|𝑭|
Hariboogle
Search
Color-Rado
42 Results in 0,002 Seconds
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Improve Precision
• Find less rubbish (=> Relevance Feedback)
Precision: |𝑹∩𝑭|
|𝑭|
Hariboogle
Search
Color-Rado
42 Results in 0,002 Seconds
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Relevant Found
5 141
Recall: |𝑹∩𝑭|
|𝑹|
4246
=𝟒𝟏
𝟒𝟔= 0,89 = 89%
„How much % of the relevant items were found?“
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Hariboogle
Search
Recall: |𝑹∩𝑭|
|𝑹|= 1 Perfect!
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HariboogleColor-Rado
Search
Recall: |𝑹∩𝑭|
|𝑹|= 1 Perfect!
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Hariboogle
Search
?
?
?? ?
?
??
??
??
?
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Recall: |𝑹∩𝑭|
|𝑹|= 1 Perfect!
All relevant items were found
A lot of rubbish
803214523509235*1012 Billion results
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Improve Recall
• Find more relevant items (easier said than done)
Recall: |𝑹∩𝑭|
|𝑹|
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Conclusion
Precision: |𝑹∩𝑭|
|𝑭|
Relevante Gefundene
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Conclusion
Precision: |𝑹∩𝑭|
|𝑭|
Recall: |𝑹∩𝑭|
|𝑹|
Relevante Gefundene