Building Decision-Making Assistants: Introduction to Recommendation Systems
Explore recommendation systems from basic classification to advanced Netflix-style matrix factorization, covering content filtering, collaboration models, SVD, and PCA techniques.
Improving Sales and Customer Experience Using Chatbots for Hotel Booking Recommendations
Discover how to leverage chatbots and language models to enhance hotel bookings, improve customer experience, and boost sales through controlled information flow and personalized recommendations.
Building Recommendation Systems with Vector Search - Women of Search
Explore building recommendation systems using vector search, focusing on Ref2Vec for user representation and bipartite graphs for user-product connections. Learn to enhance e-commerce experiences through advanced search techniques.
Benchmarking Embeddings for Similar Image Retrieval - Zucchini or Cucumber?
Explore image-based recommendations for grocery shopping using AI. Learn to build and evaluate benchmarks for image vectorization models, improving differentiation between similar food items.
Maximizing Engagement Through Privacy-Preserving Content Recommendations
Explore innovative approaches to recommendation systems that maximize engagement while preserving user privacy, using reinforcement learning and semantic analysis techniques.
Networks and Recommendation Systems
Explore graph-based recommendation systems, their transparent implementation, and real-world applications in this technical deep dive for data science practitioners.
Solving Product Substitutions in Grocery E-Commerce Through Self-Supervised Machine Learning
Explore innovative self-supervised ML techniques for solving product substitution challenges in grocery e-commerce, improving customer experience and business metrics.
Optimizing Pinterest Shopping Recommendations for Purchases
Discover how Pinterest optimizes shopping recommendations across platforms to drive purchases using advanced AI techniques, item embeddings, and conversion models.
A.I. in the Multiverse - Measuring ROI When A/B Tests Are Not Possible
Explore deep learning techniques for assessing AI's revenue impact in e-commerce without A/B testing. Learn to measure and monitor ML pipeline performance in various business settings.
Productionizing ML Models for Online Shopping at Loblaws
Explore ML model productionization for online shopping, covering microservices, CI pipelines, AB testing, and cloud-based implementation using tools like Seldon Core.
Using Postgres and OpenAI to Power Your AI Recommendation Engine - RailsConf 2024
Discover how to build and optimize an AI recommendation engine using Rails, Postgres, and OpenAI. Learn scaling techniques for handling unique AI data needs.
Drupal DXP Meets AI: Unlocking the Full Potential of Digital Experiences
Explore AI integration with Drupal DXP to enhance personalization, chatbots, analytics, and content management. Learn best practices, challenges, and strategies for leveraging AI in digital experiences.
Ads Ranking Evolution at Pinterest - From Logistic Regression to Deep Learning
Explore Pinterest's ads ranking evolution, from logistic regression to deep learning transformers, incorporating sequential signals and multi-task learning. Gain insights on overcoming challenges and advancing ML platforms.
Contextual Search with Vector Search: Exploring Open Source Tools
Explore vector search technology for smarter contextual searches. Learn to implement movie recommendation systems using ClickHouse, OpenSearch, and PGVector. Discover AI models and APIs for efficient data inference.
Building Location-Based Recommendation Systems Using Google Geocoding and Go
Explore building location-based recommendation systems using Google's Geocoding API and Go. Learn about geospatial data analysis, SurrealDB's Geo functions, and the benefits of Go for this application.
Vector Databases for Generative AI Applications - Episode 3
Explore vector databases' role in generative AI, covering search engines, open-source tools, and efficient application development for chatbots, virtual assistants, and content creation.
Deep Dive into Network Observability and Data Correlation with Selector AI
Explore how Selector AI revolutionizes network issue remediation through advanced data correlation, observability, and automated incident management in this technical demonstration.
Learning in the Presence of Strategic Decision Making
Explore strategic learning challenges in machine decision-making systems, focusing on robust algorithms for handling strategic classification and representation in human-AI interactions.
Leveraging ML Recommendation Models to Improve Customer Engagement
Explore personalization in retail using Amazon Personalize. Learn about ML-powered recommendation systems, real-time personalized experiences, and their impact on customer engagement.
QiML 2.0: Speed-Ups, Scalability, and Performance for New Machine Learning Era
Explore quantum-inspired machine learning advancements, including dequantized algorithms, tensor network approximations, and scalability improvements for healthcare applications and complex systems.
How Generative AI Powers the Next Generation of Mercari Marketplace
Discover how Mercari leverages GenAI to enhance its C2C marketplace, from streamlining item listings to improving search relevance and product recommendations through advanced ML engineering techniques.