Effective onsite search depends on how accurately your system ranks and interprets user queries. To continuously improve this performance, search engines require high-quality human relevance judgments that inform ranking models, query understanding, and machine-learning pipelines. Our Search Relevance Evaluation service delivers structured, criteria-based assessments of your search results across domains, languages, and query types.
Improving search relevance and performance requires human judgments that capture intent, context, and user expectations. Our service provides structured relevance assessments across industries, languages, and query types. It gives your search team the reliable training data it needs to refine ranking models and deliver consistently meaningful results.
Companies use search relevance evaluation to validate and improve results across a wide range of onsite and engine-based search scenarios. Common use cases include:
High-quality relevance judgments give your search engine the data foundation it needs to deliver more accurate results, understand user intent, and improve ranking performance:
High-performing search is critical for any business that manages large volumes of products, content, or service information. When users cannot quickly find what they are looking for, frustration grows, engagement drops, and valuable revenue is lost. Effective search relevance and a higher results quality are therefore a core driver of conversion, customer satisfaction, and overall site performance.
Our search relevance evaluation service provides the high-quality human judgments your ranking models need to understand user intent and deliver more meaningful results. With consistently improved relevance signals, your search engine becomes more intuitive, more accurate, and more aligned with real humans’ expectations. The result: higher findability, stronger engagement, and a measurable lift in business outcomes.
Our relevance assessment workflow combines human expertise, clearly defined judging criteria, and multilingual evaluation capabilities to ensure your search system receives accurate, consistent, and high-quality relevance data. Each query/result pair is reviewed by our trained evaluators who assess intent match, contextual accuracy, and user expectations based on project-specific market and language guidelines.
These data signals help your search engine better understand user intent, improve result ordering, and deliver a more intuitive and effective search experience across all user segments.
Create a search function designed for humans.
Contact our SalesOur managed service model provides end-to-end support for your relevance evaluation project. We handle the full workflow, ensuring consistent, accurate evaluation.
Our team defines relevance criteria with you, sets up the evaluation environment, assigns work to qualified Clickworkers, and applies quality assurance to maximize reliable outputs. Throughout the project, you work with a dedicated project manager who oversees progress, coordinates iterations, and ensures that all deliverables meet your technical and operational requirements.
This fully managed approach removes unnecessary complexity from your team while giving you high-quality, ready-to-use relevance data that can be directly integrated into your processes.
How it works:
In order to provide the best possible advice regarding our search relevance services, we will need the following information from you:
The “human factor” was missing in our programming. The search results were logical, but often did not meet the expectations of our users. They lacked local references and other human characteristics. The Clickworker team not only replaced the missing factor, but they immensely improved our search algorithm. Using their common sense, they evaluated nearly 4,000 search results daily, and provided me with valuable specifications for the optimization of our search engine algorithm.
Check out a case study we completed to better illustrate the effectiveness of our “Search Relevance Evaluation” services.
Our search relevance solution can easily be combined and expanded upon with many of our other value-added Services:
You can use this service to obtain even more data to optimize your AI systems and algorithms. Our Clickworkers create or label training data such as voice recordings, photos, texts, or videos.
Generate authentic organic traffic with real users. Our Search Data Testing service simulates real-world searches, clicks, and interactions to provide reliable SEO insights and boost your site’s performance.
Our SEO content services, with or without AI support, equip your website with search engine optimized content that matches your individual products and services. With this service you can improve your organic search results and provide your users with informative texts.
Search relevance measures how true the results of a search are in comparison to the search query. Search results can be “tuned” by considering business priorities, spelling, user location, language, and through the use of specific keywords. Relevance requires an understanding of the customer, as eCommerce consumers are different from researchers and academics. Optimizing search relevance can help improve the conversion rate for businesses as well as the overall customer experience.
With a web or website search engine, relevance is measured in two ways. Precision measures the proportion of the results returned that are relevant to the query, while Recall counts the number of relevant results returned. To calculate “the whole truth” requires a Precision of 1. Similarly, to make sure that you’re only counting “nothing but the truth” would mean that Recall also measures a 1.
Improving search relevance requires the use of massive datasets. These datasets need to be correctly labelled and tagged when input and recategorized at output if necessary. Using human annotators that are skilled in the unique requirements of the project and have fluency in the native language is essential. By running the data through the algorithm multiple times, the search engine can be taught to provide better and more relevant results.
The internet today hosts hundreds of millions of web pages and websites. Finding exactly what you are looking for in this massive (and growing) pile of information would be next to impossible without search engines. Search engines help to categorize websites based on their content, helping individuals find the information they need based on the relevance of the site. Different search engines use different weighting strategies in their algorithms, but they all consider keywords and the number and quality of links from other sites.
