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 <mariusrabenar...@gmail.com> 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/1MzIGFsATNeAYnLfoR6797ofcLeFRKSX7KB8GAYNtNPY/edit#slide=id.g15e36a57f5_0_119 <https://docs.google.com/presentation/d/1MzIGFsATNeAYnLfoR6797ofcLeFRKSX7KB8GAYNtNPY/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 actionml-user+unsubscr...@googlegroups.com <mailto:actionml-user+unsubscr...@googlegroups.com>. To post to this group, send email to actionml-u...@googlegroups.com <mailto:actionml-u...@googlegroups.com>. To view this discussion on the web visit https://groups.google.com/d/msgid/actionml-user/CAC-ATVHLVZQGAgYhXdRKBTWs7ABqSsaOdYvE4o0dN5tPH1kF%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 <https://groups.google.com/d/optout>.
