3 ms·
I'm using Solr for https://www.findlectures.com https://www.findlectures.com, but I think Vespa looks interesting - lets you store feature vectors in the index,
by garysieling 7y ago
I'm using Solr for https://www.findlectures.com https://www.findlectures.com, but I think Vespa looks interesting - lets you store feature vectors in the index, so you can do neat things to incorporate ML algorithms in ranking.
- fogetti 7y agoThat's right! Vespa looks cool. I really appreciate that they even implemented a use case as a proof of concept.
- peterdm 7y agoFeature vectors do tend to get incorporated in relevance tuning (regardless of the engine), but from what I've heard of Vespa, features (and ML in general) are first-class citizens, whereas with Elasticsearch and Solr, text statistics are your first-class citizens, and you're adding in additional features and integrating ML at the periphery.