Developing a Match-Making Algorithm Between Customers and Go-Jek Products
Explore how GoJek developed a personalized recommendation system using PySpark to match customers with relevant products and vouchers, improving conversion rates.
A Network Embeddings Based Recommendation Model with Multi-Factor Consideration
Explore a novel recommendation model using network embeddings and multi-factor analysis. Learn about knowledge transfer across implicit and explicit factors for improved accuracy in real-world applications.
Serverless Billion-Scale Vector Search for AI Applications
Explore low-latency vector search on billion-scale datasets using LanceDB, an open-source solution for modern AI workflows like recommendation systems and LLM-based applications.
Build a Look Alike Engine with Machine Learning and Angular
Learn to create a look-alike engine using machine learning techniques and Angular framework, combining cutting-edge technologies for advanced web development.
What Are Graph Databases and Why Should I Care
Explore graph databases' potential in personalization, logistics, and fraud detection. Learn about various datastores, processing frameworks, and practical applications to enhance complex systems.
AI-Driven Application Optimization Using Bandit Algorithms
Explore bandit algorithms for personalized experiences in modern applications, from recommendations to network optimization. Gain insights as both developer and user.
A New Wave of Network Science - From Fantasy to Applications
Explore innovative applications of network science algorithms, from analyzing Game of Thrones characters to transforming urban landscapes and creating data-driven art through real-world case studies.
AI Innovations Through Deep Learning and Generative AI
Explore how deep learning and generative AI innovations transform business models, featuring insights from Moloco CEO and former Google tech lead on AI commercialization and growth strategies.
T deal의 큐레이션 커머스 콘텐츠 푸시 고도화 경험
Discover how SK Telecom optimized T deal's content push system through machine learning automation, combining AI technology with telecom infrastructure for enhanced curation commerce performance.
Personalized POI Recommendations Using TMAP Driving Data
Discover how T Map's driving data powers personalized POI recommendations, using real user navigation patterns to suggest relevant destinations based on daily routines and weekend preferences.
Telco Data 기반 멀티 도메인 추천 엔진 - 협력적 게임이론 기반 순차 추천모델
Discover SK텔레콤의 혁신적인 멀티 도메인 추천 엔진 개발 과정과 구현 방법을 통해 데이터 기반 순차적 추천 시스템의 실제 적용 사례와 성과를 살펴보는 기술 세션
CDP와 AI 추천모델을 활용한 고객 인사이트 확보와 개인화 서비스
Discover how Tmap Mobility leverages CDP and AI recommendation models to predict customer home/work locations and enhance personalized services through advanced data analytics.
Helping Canadians Live Life Well Through Data-driven Innovation
Explore how Loblaw leverages data for forecasting, personalization, and supply chain optimization to enhance Canadian retail experiences.
Machine Learning for E-commerce Product Discovery - Finding a Needle in a Haystack
Explore machine learning techniques for efficient e-commerce product discovery, addressing challenges and leveraging NLP, image recognition, and knowledge graphs.
Bytedance Deep Learning: Batch Flow Integrated Training Practice
Explore ByteDance's batch-stream integrated AI training engine, supporting large-scale cloud-native models for various businesses. Learn about flexible scheduling, data orchestration, and performance optimization techniques.
Production RL and Decision-Making with RLlib
Learn to implement production-ready reinforcement learning and decision-making systems using RLlib, exploring real-world applications, challenges, and best practices.
5 Unique Python AI Project Ideas and How to Build Them
Explore 5 Python AI projects from beginner to advanced, with code samples and implementation guidance. Learn sentiment analysis, image classification, voice assistants, recommendation systems, and AI agents.
Unlocking the Power of Big Data, Analytics & AI
Explore Payzy, a mobile app revolutionizing e-transactions in Greece. Learn about its innovative tech stack, including AI-powered features like conversational assistants and recommendation systems.
Product Quantization for Vector Similarity Search - Python
Learn to compress high-dimensional vectors using product quantization, reducing memory usage by 97% and improving search speeds by 92x. Includes Python implementation and visualization techniques.
Optimizing Personalized User Experience - In-Session Recommendations Across E-commerce Verticals
Discover how to build advanced recommendation systems for e-commerce that capture real-time customer behavior and deliver personalized suggestions across multiple retail verticals like grocery, beauty, and fashion.
Optimizing Recommendations on Wattpad Home - Building a Multi-Objective Recommender System
Discover how Wattpad optimizes its recommendation system using reinforcement learning and graph neural networks to enhance user engagement and solve content discovery challenges.