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Beyond Tags: Content Discovery with Tripadvisor’s Hybrid Graph Search

NODES 25 Agenda

Session Track: AI Engineering

Session Time:

Session description

Hybrid Graph Search delivers a transformative solution to persistent challenges in content discovery, addressing gaps where our traditional tagging system lack coverage and suffer from stagnant management. In this session, the speaker will unveil Tripadvisor's Hybrid Graph Search architecture, which blends in-graph semantic search with traditional structural graph search. Attendees will see how this dual approach makes the Tag system more manageable and expandable by defaulting to fast, interpretable lookups when possible and reserving semantic search for record-driven tag assignment and complex topic search purposes.

Speakers

photo of Amir Afrasiabi Rad

Amir Afrasiabi Rad

Senior Software Engineer - Tripadvisor

Amir Afrasiabi Rad is a Senior Software Engineer at Tripadvisor. He holds a PhD in Computer Science from the University of Ottawa, specializing in social network analysis. With over ten years of experience in system analysis and software development, Amir has also published influential research on social commerce and social networks.

photo of Meng Pan

Meng Pan

Senior Machine Learning Engineer - Tripadvisor

Meng Pan is a Senior Machine Learning Engineer at Tripadvisor. With six years of experience in machine learning across various tech companies, he specializes in designing and implementing advanced ML solutions to solve real-world challenges. Meng earned his degree from Tongji University and is proficient in multiple areas of machine learning, consistently contributing to impactful projects in the travel technology sector.

photo of Konstantin Buzdin

Konstantin Buzdin

Software Development Manager - Tripadvisor

Konstantin Buzdin is a Software Development Manager at Tripadvisor with a degree from Lomonosov Moscow State University. He specializes in software architecture and team leadership, focusing on scalable systems and high-impact solutions. His core expertise lies in Search and Taxonomy management, building the systems that organize Tripadvisor's vast catalog of destinations and points of interest - helping millions of users find relevant travel content with ease.

photo of Varuni Gang

Varuni Gang

Senior Principal Machine Learning Engineer

Varuni Gang is a Senior Principal Machine Learning Engineer at Tripadvisor with over 12 years of experience spanning NLP, recommender systems, and ML platforms. He focuses on productionizing generative AI applications at scale. Varuni holds an M.S. from Carnegie Mellon University's Language Technologies Institute in the School of Computer Science.