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Old Version 2

changes.mady.by.user Julius Höfler

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New Version 3

changes.mady.by.user Julius Höfler

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  • Orignal:
    See all products in the order of your data feed. That means that the first product of your data file will be the first product to annotate and so on.

  • Random:
    The product sequence you will see during the annotation process is completely random. That means that it is unpredictable which product will be presented next.

  • Active Learning:
    The product sequence is will be adapted depending on the annotated products. The annotation process will present products where the prediction model is uncertain about the fitting attribute value.



AdvantagesDisadvantages
Original
  • the annotation order is known
  • less product variety which can result in annotating dozens of similar products
  • this does not help the model in its value prediction for completely different products
  • can take quite longer to get enough products for a good prediction
Random
  • more likely to get a bigger product variety
    → saves time until the model can generate a good prediction
  • annotation order is not known
  • it is not secured to get the needed product variety 
  • at worst it can take a similar time as by Original
Active Learning
  • product presentation is based on the uncertainty of the prediction model
  • it saves a lot of time until you get a very good prediction for all products
  • the user has to annotate at least 50 products
  • a prediction model have to exist already

Annotation Mode

Lastly you have to decide which products you want to annotate. This step is only relevant if you already have product annotations. The two decisions are:

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