Hi all, I have, in my dataset, documents from different sources (forum, news, reviews, ...) And I'd like to have a mix of them in my search results.
The problem is that, depending only on the relevance, the results are often grouped by source (Ex.:50 'forum' docs before the first 'review' doc) So, I am looking for a way to slightly disseminate the results and avoid this behaviour. I could run 1 search per source and manually do the mix. But, I have ~10 different sources, and I'm afraid this will be too slow. Is there a clean & fast way to do that ? I eventually think about implementing a custom Scorer. Thanks, Franck
