
Overview

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Explore innovations in neural ranking architectures in this 23-minute conference talk by Vedant Agarwal at Conf42 Python 2025. Dive into the challenges of real-time personalization and discover effective strategies to improve accuracy in search and recommendation systems. Learn about semantic search implementation using transformer models, performance optimization techniques, and methods for boosting user engagement. The talk covers embedding-based strategies, dynamic feature pipelines, and building scalable systems for real-time personalization. Understand why continuous innovation matters in this field through practical examples and actionable insights, concluding with key takeaways for implementing advanced neural ranking architectures in Python-based systems.
Syllabus
00:00 Introduction and Session Overview
01:26 Challenges in Real-Time Personalization
03:08 Strategies to Improve Accuracy
04:47 Semantic Search and Transformer Models
08:03 Performance Optimization Techniques
12:40 Boosting User Engagement
14:41 Embedding-Based Strategies
16:40 Dynamic Feature Pipelines
18:28 Scalable Systems for Real-Time Personalization
19:45 The Importance of Innovation
21:15 Conclusion and Key Takeaways
Taught by
Conf42