// Assuming you have fetched the search query and blog posts
// Function to calculate the similarity score between search query and post
function calculateSimilarity(query, post) {
// You can use a similarity algorithm here, like TF-IDF or cosine similarity
// Return a score that represents how relevant the post is to the query
}
// Function to suggest relevant posts based on search query
function suggestPosts(searchQuery, blogPosts) {
const suggestedPosts = [];
for (const post of blogPosts) {
const similarityScore = calculateSimilarity(searchQuery, post);
if (similarityScore > 0) {
suggestedPosts.push({ post, similarityScore });
}
}
// Sort the suggested posts based on similarity score
suggestedPosts.sort((a, b) => b.similarityScore - a.similarityScore);
// Return the sorted list of suggested posts
return suggestedPosts.map(item => item.post);
}
// Example usage
const searchQuery = "your search query";
const allBlogPosts = [/* array of your blog posts */];
const suggestedPosts = suggestPosts(searchQuery, allBlogPosts);
// Now you can display suggestedPosts to the user