Optimise search functionality using Algolia, prioritising closest matches, incorporating brand, protein, and name, and implementing fuzzy search for improved user experience.
Closest Match: Implement Algolia's indexing capabilities to ensure the closest match to the user's query appears at the top of search results. This involves leveraging Algolia's relevance ranking algorithms to prioritise results based on query string similarity, popularity, and relevance.
Brand, Protein, Name: Structure the search algorithm to give the highest weightage to the brand, followed by protein, and then the product name in the search results. This entails configuring the indexing strategy to consider these attributes when ranking and displaying search results. By doing so, users can easily find products based on their preferred brand, protein requirements, or specific product.
Fuzzy Search: Integrate fuzzy search functionality to account for typographical errors, misspellings, or variations in the search query. Algolia's fuzzy search feature enables the system to recognise and retrieve relevant results even if the user's input contains minor errors or deviations from the exact search terms. This enhances the search experience by accommodating user input variations and increasing the likelihood of finding desired items.
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Completed
π‘ Feature Request
Almost 2 years ago
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Completed
π‘ Feature Request
Almost 2 years ago
Get notified by email when there are changes.