On Sat, Aug 20, 2011 at 2:31 AM, Sean Owen <[email protected]> wrote: > The non-distributed code handles this case with Rescorers. There is no > equivalent in the distributed implementation. > > However it's fairly easy to hack this into the code. You just need to > modify the final stage where recommendations are computed to reject > items that are not new enough. They will have been used for similarity > calculations already, but then you can filter them out of > recommendations here. What do you mean by "final stage"? Did you mean have a post process which rejects old items produced by RecommenderJob or modify one of steps in RecommenderJob? If you meant the latter can you provide any documentation?
Thanks -varnit
