YoVDO

Evaluating Embedding-Based Retrieval Beyond Historical Search Results

Offered By: OpenSource Connections via YouTube

Tags

Vector Search Courses Machine Learning Courses E-commerce Courses A/B Testing Courses Semantic Search Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore innovative approaches to evaluating embedding-based retrieval (EBR) in e-commerce search beyond traditional historical search results. Delve into Yu Cao's 30-minute conference talk from Haystack EU 2023, where he shares insights on leveraging organizational knowledge to assess query and item embedding quality. Learn about efficient methods for predicting relevance in null and low search result scenarios, addressing the limitations of user-engagement data. Discover how EBR models can improve relevance while expanding recall, particularly for challenging queries. Gain valuable perspectives from Yu Cao, an Applied Researcher at eBay with a background in linguistics, as he discusses the intersection of formal theories and learning models in solving real-world e-commerce search problems.

Syllabus

Haystack EU 2023 - Yu Cao: Evaluating embedding based retrieval beyond historical search results


Taught by

OpenSource Connections

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent