Elasticsearch as a General Purpose Recommendation Solution

Good recommender systems require deep machine learning skills and extensive infrastructure – right? Not really! Elasticsearch’s Graph’s plugin dramatically simplifies building recsys with Elasticsearch. I’ll teach you the simple power behind graph: sampling & significance. We’ll apply that power to specific recommendation features: starting with simple “buyers also bought” and moving into classic collaborative filtering. But that’s just the tip of the iceberg! You’ll also see more complex use cases such as building taste profiles, exploiting significant social relationships, and personalizing search results.