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.
The Art of Hypothesis-Driven Development of ML-Powered Search - Haystack EU 2023
Explore ML-powered search development through hypothesis-driven approaches. Learn from Uzum Market's journey in building a large-scale search system for e-commerce, focusing on metrics, evaluation, and AB testing.
Evaluating Embedding-Based Retrieval Beyond Historical Search Results
Explore methods to evaluate embedding-based retrieval quality using organizational knowledge, improving relevance and expanding recall for e-commerce search beyond historical data.
Can Search Results be Fair? - Haystack On Tour Austin
Explore fairness in search results with NIST Scientist Emeritus Ellen Voorhees, discussing challenges and potential solutions in information retrieval systems.
Vector (Hybrid) Search Live A/B Test Results in E-commerce Sector
Explore significant A/B test results of Vector (Hybrid) Search in e-commerce, revealing revenue increases and improved user engagement. Learn about embedding creation and result blending techniques.
Your Search Engine Needs a Memory - Haystack US 2024
Discover how User Behavior Insights system standardizes data collection for search professionals, enabling improved relevance and user experience through analysis of search patterns and behaviors.
Splitting Monolith Applications to Microservices: Gains and Challenges from Practical Experience
Explore practical cases of splitting monolith applications into microservices, focusing on e-commerce and financial domains using Spring Boot, MongoDB, and Kafka.
Opening Keynote - Entrepreneurship and Investment in Technology
Gain insights from a seasoned tech entrepreneur and investor on creating opportunities for small investors and entrepreneurs in the evolving startup ecosystem.
There Is No Silver Bullet in Finding Product-Market Fit
Explore the emotional journey of finding product-market fit through Leanplum's story, including pivots and acquisition, with insights on idea validation and growth strategies.
Retail Media Science: From Measurement to Optimization
Explore retail media fundamentals, budget optimization techniques, and advanced marketing modeling approaches for effective measurement and optimization in the retail media landscape.
Leveraging AI to Create Healthier and Safer Online Communities
Explore AI strategies for combating online harm, addressing evolving adversarial behavior, and balancing safety with privacy in digital communities.
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.
Maximizing Revenue: A Novel Approach to Optimizing Ad Strategy
Explore a novel approach to optimizing ad strategy for mobile apps, leveraging machine learning to maximize revenue without compromising user experience or in-app purchases.
Modelling the Business of Candy Crush - Data Science in Gaming
Explore data science's impact on gaming through large-scale automation and strategic decision-making, using Candy Crush as a case study for business modeling and optimization.
Geo Experimentation at ASOS - Measuring Advertising Effectiveness for Data-Driven Marketing
Explore geo-experimentation for measuring digital marketing impact. Learn ASOS's framework for evaluating campaign effectiveness across markets and channels using geographical regions as test units.
Data Science in Programmatic Advertising - Exploring Pricing Strategies for Real-Time Bidding at Scale
Explore pricing strategies for real-time bidding in programmatic advertising, focusing on bid shading and supply path optimization to enhance ROI and campaign success at scale.
Better Photos - Leveraging Product Insights to Optimize Machine Learning Models
Explore advanced analytical techniques for optimizing photo selection in dating apps. Learn about statistical considerations, product insights, and impact on engagement and revenue metrics.
Scaling Paid Marketing with Automation and Predictive Models
Discover strategies for scaling paid marketing through automation and predictive modeling, enhancing budget planning and optimization for improved marketing efficiency.
Making MMM Work for B2B Marketing
Explore B2B marketing strategies using Marketing Mix Modeling (MMM). Learn from Twilio experts about adapting MMM techniques traditionally used in B2C for B2B applications.
Accelerating Machine Learning Serving with Distributed Caches
Explore distributed caching strategies to optimize ML serving, reduce latency, and improve throughput in inference pipelines. Gain practical insights for implementation.
The Power of Knowledge Graphs and AI - A New Era for Developers and Data Scientists
Explore Knowledge Graphs and AI: Learn technical aspects, real-world applications, and future trends. Discover how to leverage these technologies for data harmonization and inference.