The Evolution of Recommendation Engine Algorithms: From Association Rule Mining To Deep Learning
Recommendation engine is at the core of digital marketing solution. A good recommendation engine has immediate direct impact on user experience and company’s bottom line. With the whole digital platform shifting focus to Millennials and Generation Z, user profiles have changed significantly for many industries. Personalization became a must have instead of creepy feature in users’ mind. The overwhelming demand and exponentially increasing data collection lead to the advancement of the technology for recommendation engine. The core algorithms evolved from association rule mining to collaborate filtering to matrix factorization and to most recently deep learning. This presentation aims to dive deep into these algorithms, detail the trade offs in terms of business impact, modeling flexibility, prediction accuracy and production complexity. The knowledge gain from this talk will help leadership and practitioners make an informed holistic decision when designing the AI solution for digital marketing and Customer Relationship Management.
Tian Su is Sr Manager Data scientist currently leading the end to end model development and deployment of Personalization Model, CRM Model and Object Recognition Model at 7-Eleven. Before 7-Eleven, she worked at Bridgewater Associates as an Investment Engineer and Capital One Financial Corporation as a Senior Data Scientist. She specializes in Machine Learning and Artificial Intelligence in a variety of business areas such as risk modeling, digital marketing, time series prediction and computer vision. Her experience extends across the full spectrum of AI solution cycle from data mining, model building to productionisation. Besides work at 7-Eleven, she is the lead instructor of Data Science education at Joblogic-X and career counselor of data related job families. Tian received her bachelor degree from Peking University (China), finished master degree at Heidelberg University (Germany) and obtained Ph.D. from Yale University.