AI Search
Query understanding, retrieval quality, multimodal search, and evaluation loops.
AI Search & Recommendation Systems
Eason Ni
I study how AI systems understand intent, retrieve the right signals, and recommend what people actually need.
Intent
Retrieval
Ranking
About
I am Eason, focused on AI-powered search and recommendation.
My work sits at the intersection of user understanding, item understanding, matching, ranking, and product judgment. I care about systems that are useful in real workflows, not just impressive in isolated demos.
Selected Work
Current directions
Recommendation
User intent, product signals, content distribution, and ranking mechanisms.
Applied Research
Turning research questions into usable workflows, reports, and product decisions.
Writing
Notes to make the work reusable.
I use this site as a public index for research notes, project summaries, and small demos around AI search, recommendation, product intelligence, and agent workflows.
AI search and retrieval quality
Recommendation system product judgment
Applied research workflows
Contact
Find me online
I keep this page as a compact home base for research notes, projects, and public links.
GitHub: Eason-Ni
WeChat Official Account: 学习的一天天
