Episode notes
Topics:
00:00 Intro
01:30 Doug’s story in Search
04:55 How Quepid came about
10:57 Relevance as product at Shopify: challenge, process, tools, evaluation
15:36 Search abandonment in Ecommerce
21:30 Rigor in A/B testing
23:53 Turn user intent and content meaning into tokens, not words into tokens
32:11 Use case for vector search in Maps. What about search in other domains?
38:05 Expanding on dense approaches
40:52 Sparse, dense, hybrid anyone?
48:18 Role of HNSW, scalability and new vector databases vs Elasticsearch / Solr dense search
52:12 Doug’s advice to vector database makers
58:19 Learning to Rank: how to start, how to collect data with active learning, what are the ML methods and a mindset
1:12:10 Blending search and recommendation
1:16:08 Search engin ...
... Read more