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ACM IUI (Intelligent User Interfaces) logo

ACM IUI (Intelligent User Interfaces)

Natural Language Processing · Conversational AI · Recommendation SystemsNew York, USAFounded 1993

The premier international forum for reporting outstanding research and development in intelligent user interfaces, where researchers and practitioners explore the intersection of artificial intelligence and human-computer interaction.

4.9
Average rating
10
Mapped reviews
100%
Profile coverage

Company & commercials

Primary category
Natural Language Processing
Team size
1-10 employees
Typical budget
$5K - $15K
Primary industry
Technology, Software & Digital Infrastructure
Provider overview

A clear view of what ACM IUI (Intelligent User Interfaces) does best.

Structured from supplied company information and mapped to RankGlobal's controlled AI and industry taxonomy.

Company profile
Natural Language Processing provider for Technology, Software & Digital Infrastructure

The premier international forum for reporting outstanding research and development in intelligent user interfaces, where researchers and practitioners explore the intersection of artificial intelligence and human-computer interaction. RankGlobal maps its primary capability to Natural Language Processing within Natural Language Processing, with supporting relevance to Conversational AI, Recommendation Systems. Its strongest supplied industry signals align with Software & SaaS, EdTech & Digital Learning.

See how this profile was mapped →
Primary AI category
Natural Language Processing
Strongest industry signal
Technology, Software & Digital Infrastructure
Engagement profile·$5K - $15K·1-10 employees·Service
Mapped capabilities · 3 categories
Technology

Platforms, methods and technical signals

Natural Language ProcessingComputer VisionExplainable AI

Tools and platforms named in ACM IUI (Intelligent User Interfaces)'s supplied company profile.

Expertise

Named expertise on file

  • Research Publication

    Serving as the premier venue for scholarly research at the intersection of AI and Human-Computer Interaction (HCI).

    Scholarly ResearchHCIPeer Review
  • Networking and Collaboration

    Facilitating interaction between academic researchers and designers building the interfaces of the future.

    Professional NetworkingCollaborationKnowledge Exchange
RankGlobal provider intelligence
Analyst brief

Mapped Evidence Report

A decision-support view of ACM IUI (Intelligent User Interfaces), built from mapped taxonomy signals, evidence confidence, commercial profile and reviews.

Primary feed set
Natural Language Processing
Compared with
814 providers
Evidence signals used
3 signals
Publication status
Published
Structured evidence signal
100/100
Strong evidence
53rd percentile of 814 peers · peer median 100
Profile coverage100
Taxonomy density100
Review signal100
Peer benchmark
How the profile compares

Natural Language Processing among 814 published providers

Average rating4.86 · median 4.83
Mapped reviews10 · median 10
Profile completeness100% · median 100%
Taxonomy breadth16 · median 22
Signal radar
Multi-dimensional evidence
RatingReviewsCoverageBreadth
This profile (percentile) Peer median
Capability mix
Mapped category signal
Natural Language Processing100%
Conversational AI76%
Recommendation Systems76%

Imported mapping confidence for each category — not a share of work, revenue, or delivery volume.

Mapped industries
2 industries on the map
2
Education & Research75%
Technology, Software & Digital Infrastructure25%

Share of mapped industry rows on the taxonomy map — not share of work or revenue.

Evidence mix
Mapping grades
Direct13% · 2
Supported56% · 9
Related19% · 3
Adjacent13% · 2

Imported mapping grades across 16 taxonomy mappings — not a search ranking.

RankGlobal analyst interpretation

What the mapped signals say

ACM IUI (Intelligent User Interfaces) presents as a strong evidence profile for Natural Language Processing. It ranks in the 53rd percentile of 814 published providers in Natural Language Processing, and 10 reviews back the commercial profile.

Current positioning: P53 evidence quality · P14 industry breadth
Strongest signals
Evidence-backed strength in Natural Language Processing is the profile's clearest signal in the mapped taxonomy.
Best user fit
Technology, Software & Digital Infrastructure buyers evaluating Natural Language Processing at a $5K - $15K engagement size.
Confirm before engagement
Confirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
Client feedback signals
10
Reviews
4.9
Average rating
0
Publicly reshared
Published
Listing status
How this report is calculated →
Industry experience

Where this expertise is most relevant.

Industry mappings are organized by evidence strength so buyers can distinguish demonstrated alignment from broader search relevance.

4 mapped subindustries
Client feedback

What clients say.

Reviews and ratings published for this provider.

5
Enhancing User Transparency via Explainable AI Dashboard Design

The papers on explainable AI (XAI) helped us redesign our transparency dashboard for 1M users.

UX Director
5
Improving Feedback Fairness via OpenReview AI Platforms

The OpenReview platform used this year made the feedback cycle much more transparent and fair.

Reviewer
5
Advancing Human-AI Interaction via Open-Access Research Leadership

The gold standard for human-AI interaction research. The 2026 Open Access move is brilliant.

Lead Researcher
5
Ensuring Evidence-Based Excellence via Rigorous AI Peer Reviews

Rigorous peer reviews ensure only top-quality, evidence-based AI work is presented.

Industry Scientist
5
Facilitating Research Innovation via Global Academic Networking

Invaluable for networking. I found my last three research collaborators at this conference.

HCI Designer
5
Mentoring Future Leaders via Actionable World-Class Expert Advice

The 'Student Mentoring' sessions are life-changing. World-class experts give real, actionable advice.

Doctoral Student
5
Optimizing User Experience via Intelligent Interface Design

Focuses on 'Intelligent' interfaces, not just 'Pretty' ones. A critical distinction for developers.

Software Eng.
5
Fostering Ethical AI Design via Inclusive Community Collaboration

The community is inclusive and forward-thinking. Great focus on ethics and bias in AI design.

Workshop Chair
5
Previewing Human-AI Futures via Innovative Interaction Research

Always the first place to see the future of how humans will actually talk to and work with AI.

Tech Journalist

10 published quotes on this profile.

Showing 9 of 10, ranked by display order then recency.

Rating distribution
5
10
4
0
3
0
2
0
1
0

Ratings aggregate 10 reviews at the average shown above.

Transparent profile intelligence

How RankGlobal maps this profile.

RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research— a mapping grade is not a claim of discoverability weight.

Tier 1 · Authoritative
Regulators, registries, certifications, signed client evidence.
Highest evidentiary weight
Tier 2 · Independent
Credible media, industry bodies, partner directories, third-party datasets.
Strong with attribution and recency
Tier 3 · Provider-controlled
Company site, case studies, press releases, structured submissions.
Accepted as a claim; verification raises weight
Tier 4 · Discovery-only
Directory listings, aggregations, and early discovery signals.
Used for discovery; weighted accordingly in ranking

Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.

RankGlobal trust center →
Ready to evaluate this provider

Move from discovery to a focused conversation.

Your enquiry goes to the RankGlobal research team, not the provider's sales inbox. Sending it does not affect their ranking.

Before you reach out

What RankGlobal holds on file for ACM IUI (Intelligent User Interfaces), and the three things worth confirming directly once you're in touch.

Primary category
Natural Language Processing
Primary industry
Technology, Software & Digital Infrastructure
Typical budget
$5K - $15K
Team size
1-10 employees
  1. 1
    Name the use case

    Say which Natural Language Processing problem you are evaluating, so the research team can route your message accurately.

  2. 2
    Pressure-test the budget band

    The $5K - $15K band on file is a profile-level figure. Ask what a scope like yours actually lands at.

  3. 3
    Ask for a reference

    Request a client reference in Technology, Software & Digital Infrastructure — the strongest industry signal on this profile.

Enquire about ACM IUI (Intelligent User Interfaces)

Three fields. Anything longer belongs on the full contact page, linked below.