We'll create a summary of the provided text in one paragraph, focusing on key points about search relevance, data configuration, and custom ranking. Search relevance is crucial for creating an effective search engine. The process starts with structuring and configuring your data to make it searchable, using techniques like selecting only relevant attributes, prioritizing their order, and adding fallbacks like short-description. Custom ranking allows you to tie-break matches by comparing the strength of each match, considering factors like popularity, newest release, and custom attributes. To improve matching, consider synonyms, faceting (filters), typo tolerance, language settings, and analytics testing. By structuring your data and configuring it properly, you can create a search engine that returns relevant results, and with additional features like personalization, merchandising, browsing, discovery, and recommendations, you can further enhance the user experience.