People generate rich signals as they communicate, search, review, and transact. My research asks how such signals can be harnessed to connect users with the right information, products, and decisions. In the enterprise, I study how social signals can reveal informal knowledge networks in large organizations. On the web, my work explores how people express and pursue information needs through text, voice, and visual queries, and how product knowledge can be extracted and structured at marketplace scale. My current focus is on trustworthy AI for personalized information access. To illustrate this agenda, the talk will present recent work addressing the challenge of training machine learning models when ground-truth labels are delayed by weeks or months in a non-stationary, adversarial environment. This setting creates a fundamental tension between learning from fresh but incomplete feedback and relying on older, more reliable labels that may no longer reflect the current environment. I will show how we formalize these tradeoffs, develop methods to address them, and demonstrate measurable gains through both offline experiments and online A/B tests on live user traffic.
Bio: Ido Guy is a Senior Research Science Manager at Meta and an Adjunct Full Professor at Ben-Gurion University's Institute for Applied AI Research. His research focuses on information retrieval, recommender systems, personalization, and applied AI. Before Meta, he was Chief Scientist and Applied Research Director at eBay Israel, where he established and led four applied science teams in AI for e-commerce. Earlier, he was a Principal Researcher at Yahoo Labs and an STSM/Manager at IBM Research, where he founded and managed the Social Technologies group. Ido has authored over 100 publications and holds 20 granted patents. His work has received multiple best paper and honorable mention awards, an IBM Corporate Award, and the AI-2000 distinction as a top-100 scholar in information retrieval and recommender systems. He currently serves as Program Co-Chair of the ACM Web Conference 2026 and has been a member of the ACM RecSys Steering Committee since 2012.