What research areas and projects does CIIR cover?

The Center for Intelligent Information Retrieval (CIIR) at UMass Amherst focuses on AI and information access, with information retrieval (IR) as its core discipline. Its site organizes research into current projects, completed projects, downloads, and publications, and it names Project Naget as a recent initiative to bring that research into real-world AI search technology. If you want to know whether CIIR's work matches your interests, the fastest check is the Research section's current and completed project lists plus the publications page.

Core research focus

CIIR describes its domain as "AI and Information Access." Within that, the center's work centers on information retrieval — the systems and methods that connect people (and now software agents) with relevant information. The site's navigation reflects this: Research, Publications, and Downloads sit alongside People and Membership, so the research output is the main public-facing content.

Where the projects live

The Research section splits into two browsable lists:

• Current Projects — what the center is actively working on now
• Completed Projects — past work, useful for tracing how a research thread developed

Alongside these, Downloads and Publications provide the concrete artifacts: papers, datasets, or software released by CIIR researchers. For anyone evaluating fit with their own work, the publications list is usually the most informative single page, because it shows the specific problems and methods rather than just topic labels.

Project Naget: a recent real-world initiative

On the CIIR's 34th anniversary (announced October 7, 2026), the center unveiled Project Naget, described as bringing CIIR research to "a new generation of real-world AI search technology." Naget is positioned as a trusted information layer for agents that provides search capabilities. This is the clearest example on the site of research moving from lab work toward a deployed product, and it signals the center's current direction: retrieval systems built for AI agents rather than only for human searchers.

Who does the work

The People section lists the center's participants by role:

• Faculty
• PostDocs/Researchers
• Staff
• Graduate Students
• Alumni
• Visitors

There is also a CIIR Internship Program, which is relevant if you are a student looking for a way in. The alumni list matters for a different reason: it shows where former members have gone, which can help you judge the center's reach into industry and academia.

Signals of research activity and recognition

The Latest News page doubles as evidence of what the center considers notable. Recent items include:

The recurring SIGIR presence and the Test of Time award for a 2014 paper on entity query feature expansion indicate that entity-oriented retrieval and query expansion are established strands of CIIR work, not one-off projects.

How to decide if it's relevant to you

• If you follow IR methods: start with Publications and the Current/Completed Projects lists to see whether the specific techniques match your interests.
• If you care about applied AI search: Project Naget and the Downloads section are the most direct evidence of deployed or deployable output.
• If you are a student or researcher considering involvement: the People page and Internship Program describe who participates and how; the Membership section covers organizational participation.
• If you want ongoing updates: the site offers a "Subscribe to Latest News" option and points to Hamed Zamani's Twitter account for descriptions of new IR papers.

One caveat: the site does not publish pricing or access terms for membership on the pages summarized here, so treat membership and subscription details as something to confirm directly rather than assume.