Event-based personalized search + recommendations

[eostis]

I noticed the recent integration of LLMs, local or remote, including RAG. This is a great feature.

The most requested feature nowadays is a real-time recommendation system, based on user events, like clicks, add to wishlist, add to basket, or orders, views, video display ....

It is so difficult to set in motion that only paid SaaS services are considered in general. Open source/local recsys are either too slow or not good enough (lack of real time, lack of good models for specific goals ...).

Features in the API:

• Ingest catalog
• Ingest events
• Ingest users
• dashboards
• create scenarios from a selection of models (items-to-item, items-to-user, ...), boosts, and filters
• call scenarios to get recommendations
• call scenarios to get personalized search (reranking?)

[eostis]

I forgot to mention search personalization! Done.

[eostis]

Perhaps integrating the new UBI format?

• https://github.com/opensearch-project/user-behavior-insights
• https://www.youtube.com/watch?v=8_4VRtMWtSY