In other words, the completion behaves differently, depending on the option, right?
* If “show member signatures” is disabled, we only ever see the “dominant” signature. We then only every recommend this signature.
* If “show member signatures” is enabled, we see all the available signatures separately. We then recommend specific signatures.
This poses the following problems:
* If the option is disabled, our learning is imprecise. If we recommend for someone with the option enabled, we may recommend the “wrong” signature, as we recommend the “dominant” one, not the specific one(s).
* If the option is enabled, our learning is precise w.r.t the signatures. If we recommend for someone with the option disabled, we may not recommend anything, because the specific signature may not be the “dominant” one and, therefore, invisible to us.
Proposal:
1) Since we cannot detect the specific signature in case the option is disabled, I’d say we should mark the information as “any signature”.
2) We should consider this abstraction in the learning.
3) When recommending, we should move the group proposal (option disabled) considering proposals for specific subsumed signatures.
What do you think?
Best,
Sven
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