Thank you 2017-05-04 20:03 GMT+04:00 Pat Ferrel <[email protected]>:
> That was generated using the old Mahout Mapreduce recommenders, which had > pluggable similarity metrics. I ran it on a vey large E-Commerce dataset > from a real ecom site. The data was for 6 months of sales. We did > cross-validation of an 80 training set and 20% held out probe/test set. The > test set was 20% of the most recent sales. We then measure MAP@k for > several k. A decline in MAP@k as K increases means the ranking of items > is correct. This higher MAP@k the better the precision of recommendations. > > Using cross-validation between different algorithms is highly suspect so > this was using an identical algo, but not one I’d use today. > > > On May 4, 2017, at 8:54 AM, Marius Rabenarivo <[email protected]> > wrote: > > Hello, > > Can you point me to some resource explaining how the graphic comparing > LLR with other similarity metrics was generated? > > https://docs.google.com/presentation/d/1MzIGFsATNeAYnLfoR6797ofcLeFRK > SX7KB8GAYNtNPY/edit#slide=id.g15e36a57f5_0_119 > > Regards, > > Marius > > -- > You received this message because you are subscribed to the Google Groups > "actionml-user" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > To view this discussion on the web visit https://groups.google.com/d/ > msgid/actionml-user/CAC-ATVHLVZQGAgYhXdRKBTWs7ABqSsaOd > YvE4o0dN5tPH1kF%2BA%40mail.gmail.com > <https://groups.google.com/d/msgid/actionml-user/CAC-ATVHLVZQGAgYhXdRKBTWs7ABqSsaOdYvE4o0dN5tPH1kF%2BA%40mail.gmail.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > >
