Recommendation engines companies, products & suppliers
Item-to-user recommenders (products, content, media) as the product. Jobs: item recommend; similar-item; feed ranking.
What are Recommendation engines?
Item-to-user recommenders (products, content, media) as the product. Jobs: item recommend; similar-item; feed ranking.
What problems does it solve?
Catalogs still show the same bestsellers to everyone.
Typical business use cases
- Item recommend
- Similar-item
- Feed ranking
Important capabilities
- Models
- Cold start
- Feedback loops
What buyers should evaluate
- Holdout
- Filter bubbles
- Sensitive attributes
Risks and governance considerations
Recommendations that leak another user's behaviour.
Procurement checklist
- Holdout
- Attributes
- Isolation
Relevant AI Trustmark assurance
AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.
Companies and providers
Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.
18,000+ organizations trust Algolia to build intuitive, adaptive, high-performing experiences with a unified AI search & retrieval platform spanning agentic, generative, and search
Amazon Web Services is Amazon's cloud division selling compute, storage, Bedrock model hosting and related AI infrastructure. Public pages cover regional cloud services for builder
Loomi AI, Bloomreach's agentic platform, understands each customer to personalize their experience in real time — across email, web, mobile, and search. Bloomreach publishes Bloomr
Clerk.io publishes Clerk.io as a named AI product. Clerk.io is used for Recommendation engines work. Clerk.io is grouped with Recommendation engines suppliers. Public product pages
The only site search and product discovery built for ecommerce KPIs. Delivering superior experiences with AI, NLP, data and personalization. Constructor publishes Constructor AI Co
Generative search & relevant recommendations. The leading platform for GenAI, AI agents, commerce, customer service, workplace & website experiences. Coveo Solutions Inc. trades as
Dynamic Yield publishes Dynamic Yield Experience OS and Dynamic Yield Experience Search as named AI products. Dynamic Yield is used for Personalisation platforms and Recommendation
Google is a US technology company that sells consumer and cloud AI products, including Gemini, Search, and related developer APIs on Google Cloud. Google publishes Imagen, Gemini f
Klevu has united with Searchspring and Intelligent Reach under Athos Commerce to transform ecommerce search, merchandising, and personalization. Klevu publishes Klevu Visual Catego
Monetate is the #1 experience optimization platform designed to help enterprise brands and digital businesses scale KPIs and wow customers. Monetate is used for Personalisation pla
Boost sales and loyalty with Nosto’s AI-powered ecommerce personalization, merchandising, and search tools. Nosto publishes Nosto Category Merchandising and Nosto Product Recommend
NVIDIA sells GPUs, CUDA software and AI enterprise stacks used for training and inference. Public pages cover data-centre, cloud and on-prem AI compute. NVIDIA publishes NVIDIA cuO
Recommender as a Service with an intuitive RESTful API & SDKs tailored by data scientists. Recombee is recorded in Prague, Czech Republic. Recombee publishes Recombee Recommendatio
Products
Claimed products appear first. Ranking packs and payment do not change this list.
- Algolia AI Recommendations· Algolia
- Amazon Personalize· Amazon Web Services
- Bloomreach Discovery Product Recommendations· Bloomreach
- Clerk.io· Clerk.io
- Constructor Recommendations· Constructor
- Coveo ML Product Recommendations· Coveo
- Klevu Smart Recommendations· Klevu
- Nosto Product Recommendations· Nosto
- NVIDIA Merlin· NVIDIA
- Recombee Recommendation API· Recombee
- Vertex AI Search for commerce· Google
Also used in this category
These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.
- Constructor AI Commerce Search and Discovery· Constructor
- Dynamic Yield Experience OS· Dynamic Yield
- Monetate· Monetate
Related categories
Relevant procurement and assurance guides
Frequently asked questions
What is Recommendation engines?
Item-to-user recommenders (products, content, media) as the product. Jobs: item recommend; similar-item; feed ranking.
What should not be listed as Recommendation engines?
Products whose buyer job is personalisation platforms, merchandising, or next-best-action decisioning. Those belong on their own category page so search queries are not split.
Has AI Trustmark independently assessed every Recommendation engines supplier?
No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.
What are Recommendation engines?
Item-to-user recommenders (products, content, media) as the product. Jobs: item recommend; similar-item; feed ranking.
What model or provider changes should a buyer insist on being told about?
Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.
How should buyers verify where AI customer data is processed?
Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.
Does a TrustMark on one product cover the rest of the company?
No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.
What incident-handling evidence is useful for AI suppliers?
Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.