Learn Practical Machine Learning Applications to Build Stronger Search at ACTIVATE
Ready to move past the hype of artificial intelligence and get to the results? Attend ACTIVATE to learn how to build real search solutions using ML and AI. After two full days of training on Solr and Fusion operation and development, speakers from companies such as Uber, StubHub, OpenSource Connections, and FullStory will be sharing their practical applications for ML and AI to build a better search experience.
Uber: Supporting Query Tagging/ Suggestion in Fusion 4.
Software engineer duo from Uber, Atousa Duprat and Stan Chan, will share recommendations for implementing ML models with Fusion. They’ll also cover the integration journey of Fusion and another ML/NLP architecture that fulfill the specific requirements of query classification and suggestion. Mark your calendars for their session on September 11th at 3:20pm.
StubHub: Bootstrapping LETOR for Suggestions
Search suggestions are the most frequently used search functionality at StubHub with 12 million plus average hits every day. Software engineers Ankit Patil and Rui Niu will explain how they bootstrapped LETOR with minimal efforts and risks to overcome the challenge of obtaining good training data. Attend their session September 12th at 3:20pm.
OpenSource Connections: Conversion Models: A Systematic Method of Building LTR Training Data
Interested in learning how to measure search quality? Doug Turnbull, CTO of OpenSource Connections, will share the company’s systematic approach to using analytics in search, no matter the nature of your application, to build robust training data. He’ll also share common issues to look out for to ensure bad analytics don’t spell doom for your machine learning projects. Don’t miss his talk on September 12th at 3:20pm.
FullStory: Bionic Data Science and ML Using Behavioral Search and Session Replay
Learn how to leverage new tools such as Behavioral Search, Segmentation, and Session Replay to enhance your data science workflows, ML models, and data visualizations. FullStory’s director of engineering, Jaime Yap, and data scientist, Sam Franklin, will walk through examples of how to turn high quality event-based interaction data into powerful models. Listen in on September 12th at 11:35am.
Harness the Power of QA Systems for Chatbots and Virtual Assistants