Maximizing Search Relevance with Data Labeling: Tips and Best Practices


Users today are submerged in vast amounts of information, which makes finding the information they need complex. Search relevance measures the accuracy of information an individual requires vis-a-vis their search query and results. It’s not important to provide results but to provide results according to the user’s search intent. Hence, search relevance helps with making it easier and seamless for a user to get the required information. Search relevance is crucial for owners and search engine enablers to help their users to showcase the desired results.

What is Search Relevance?

When you search for something online, you want the results to match what you’re looking for. That’s what search relevance is all about. It’s like having a helpful store employee who understands exactly what you need.

Imagine you’re shopping for a red tennis shoe. With good search relevance, the top results will show you different red tennis shoes. But with bad search relevance, you might see blue sneakers, red sandals, or even totally unrelated items like red hats.

The ability to understand and interpret user intent is a hallmark of a robust search system. By leveraging advanced techniques like natural language processing and machine learning, search engines can better grasp the context and meaning behind a user’s query, ultimately delivering more accurate and satisfying results.

The Evolution of Search Relevance

How can you determine if your search engine is functioning correctly? Put another way, how can you be sure that the results it provides are effective in keeping customers engaged rather than causing them to leave?

A highly effective method to assess the performance of your search engine is by conducting a human relevance evaluation. The process involves selecting a representative set of several thousand or more search queries that your website is likely to receive and recording the top search results for each query. Subsequently, a group of human evaluators is tasked with rating the quality of the search results based on a straightforward criterion of their usefulness. The specific definition of what constitutes a useful result is determined by you and your human evaluators. This approach provides a rapid means of establishing a foundational understanding of your search engine’s quality.

Different Types of Search Relevancy Services

Data labeling companies provide various services to enhance search relevance, with the most common being the evaluation of search results. In this process, human relevance evaluation involves assessing whether a specific search result is pertinent to the given search query.

Kinds of Search Relevancy Measurement Services

Historically, search relevance relied heavily on the frequency of keywords appearing on a webpage. However, modern search relevance places a stronger focus on precision and contextual understanding. The evaluation of search results can be conducted through the following methods: