Re: "LLR with time"

Events have the natural good quality that having a cold start means that you will naturally favor recent interactions simply because there won't be any old interactions to deal with. Unfortunately, that also means that you will likely be facing serious cold start issues all the time. I have used

Re: "LLR with time"

Well the greece thing was just an example for a thing you don't know upfront - it could be any of the modeled feature on the cross recommender input side (user segment, country, city, previous buys), some subpopulation getting active, so the current approach, probably with sampling that favours

Re: "LLR with time"

Inline. On Sat, Nov 11, 2017 at 6:31 PM, Pat Ferrel wrote: > If Mahout were to use http://bit.ly/poisson-llr it would tend to favor > new events in calculating the LLR score for later use in the threshold for > whether a co or cross-occurrence iss incorporated in the

Re: "LLR with time"

If Mahout were to use http://bit.ly/poisson-llr it would tend to favor new events in calculating the LLR score for later use in the threshold for whether a co or cross-occurrence iss incorporated in the model. This is very interesting and would be useful in cases where you can keep a lot of

Re: "LLR with time"

Pat, thanks for your help. especially the insights on how you handle the system in production and the tips for multiple acyclic buckets. Doing the combination signalls when querying sounds okay but as you say, it's always hard to find the right boosts without setting up some ltr system. If there