From Job Recommendations to Advanced Search
In this morning meetup we'll delve into two deep tech talks on recommendations and search!
09:30 – 10:00 Networking, Light Breakfast and Coffee ☕️
10:05 – 10:10 Welcome and Introduction 🖐️
Ofir Steinherz (Datahack)
10:10 – 11:00 Encoder-based multimodal learning for recommendations in two-sided employment marketplaces 💼
- Speaker: Nadav Barkai, Data Science & Engineering Manager at ZipRecruiter
- In this talk we'll delve into the recommendation models powering ZipRecruiter's two-sided employment marketplace, understanding the main challenges and modeling approach. We'll focus on the central role of pre-trained encoders and how they are incorporated into our multimodal learning framework.
11:00 – 11:45 Combining Classic and Vector Search for Improved Relevance 🔍
- Speaker: Ohad Levi, CEO of Hyperspace
- We will discuss the power of merging traditional and vector search techniques. Learn about the role of unstructured data in enhancing search and the journey from research to real-time production. Dive into the next wave of search paradigms.