why aren't all 6 resolved? a statement only gets an assessment when the public
record can support or contradict it. opinions and what-ifs never can, and 0 checkable
ones are still open, waiting for their date. predictions held up or didn't;
assertions are supported or contradicted. on every card:
▮▮▮▮▮ certainty ·
▮▮▮▮▮ debate potential. speakers are clickable
Disclosure
Bloomberg chose Apache Solr over Elasticsearch to maintain open-source control
“One was, we were looking for something that was truly open source, where we had a lot more control over open source and, sorry, source code, and a lot more saying how the direction goes.”
Disclosure
Learning-to-rank algorithms continuously improve search models without manual human tweaking
“We had a huge improvement once we started using it, but more than that improvement, the good part about learning to rank is it always continues to improve your model without constant need of people tweaking it.”
Disclosure
Bloomberg limits unsupervised learning to data bootstrapping due to precision needs
“We use unsupervised learning a lot to Sort of bootstrap our data. For example, word to whack, right? It's a perfect unsupervised learning algorithm. We use that a lot to, for query reformulation and all that, but, ah, it's a little risky for something as high …”
Disclosure
Bloomberg plans to consolidate terminal search into a single ranked list
“And we want to get to a place where you can search all that in one screen, and we will give you that information in one single ranked list, so you don't have to learn more and more different places to search for data.”
Disclosure
Bloomberg uses LambdaMART decision tree algorithms for terminal search ranking
“The one we use is called Lambda Mart, which is based on decision trees, or gradient, regression trees, actually.”
Disclosure
Bloomberg uses interleaving instead of A/B testing to deploy search models
“So that's what we use for, ah, we use to decide which model to push out.”