Provide more detail on recommendation engines used for A and B lists in survey
Are they both item-item based? what are the differences? How can we choose between them?
A blog post would be nice.
Details published by Ekstrand et al in recsys 2014, though I cannot say which experimental condition you were in.
http://dl.acm.org/citation.cfm?doid=2645710.2645737
The system now describes “the wizard” and “the warrior” in the user interface.
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Fabricio commented
I've like to know too! As an Staticician would like to know the method to predict the ratings in A and B :)
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There are multiple recommenders in the study (not just item-item), you got two of them randomly assigned. We'll write a blog post as soon as we get the results published.