Hi all, I've been fine tuning our current Solr implementation the last week or two to get more precise results. We are trying to get our implementation accurate enough to serve as a lightweight machine learning (obviously a misnomer) implementation of sorts. Actual user generated searching is far secondary for our purposes.
I've gotten our results to go from confidence scores of ~40-60 for good results to the 700s. So far so good. Edismax seems like it has some promising features, but I'm wondering if it'll be very helpful for our purposes. The only thing that jumps out immediately to me is the bq ability in which one of our non-primary fields is used as a means of boosting. In other words, when using our three fields—manufacturer, part number, and description—to find a part, we could bq the category or size field to help eliminate false positives from appearing. Is there anything else that you think I should look into regarding edismax that could be helpful to our end game? Thanks for any ideas!
