PHP and Manticore Search Development: Improving the Relevance of Search Results

PHP and Manticore Search Development: Improving the Relevance of Search Results

In today's Internet era, search engines are a very important part of our daily lives. With the explosive growth of information, people have increasingly higher requirements for the relevance of search results. To meet this demand, developers need to use efficient and accurate search engines. In this article, we will explain how to use PHP and Manticore Search to develop an application with highly relevant search results.

1. What is Manticore Search?

Manticore Search is an open source full-text search engine that has been enhanced and improved based on the functionality of Sphinx Search. It features high performance, high scalability and high relevance, providing fast and accurate search results. Manticore Search supports multiple languages, has powerful search functions, and is suitable for various application scenarios.

2. Install Manticore Search

First, we need to install Manticore Search on the server. You can download the Manticore Search installation package from the official website (https://www.manticoresearch.com/) and install it according to the official documentation. After the installation is complete, start the Manticore Search service.

3. Create Index

Before searching using Manticore Search, we need to create an index. An index is a data structure used to speed up searches. We can create a simple index using the following PHP code:

<?php
$index = new ManticoreSearchIndex($client, 'products');
$index->create([
    'product_id' => ['type' => 'integer', 'indexed' => true, 'docvalues' => true],
    'name' => ['type' => 'text', 'indexed' => true, 'tokenized' => true],
    'price' => ['type' => 'float'],
]);
?>

The above code creates an index named 'products', containing three fields: 'product_id', 'name' and 'price'. We can define index fields according to actual needs.

4. Add documents

Next, we need to add documents to the index. A document is a record in the index that contains the data we actually need to search for. We can add documents to the index using the following PHP code:

<?php
$document = new ManticoreSearchDocument($index);
$document->setId(1);
$document->setFields([
    'product_id' => 1,
    'name' => 'iPhone 11',
    'price' => 999.99,
]);
$index->addDocuments([$document]);
?>

The above code adds a product document to the index, containing the product ID, name and price. We can add more documents based on actual needs.

5. Perform a Search

Now, we can perform a search operation using Manticore Search. We can perform a simple search using the following PHP code:

<?php
$search = new ManticoreSearchSearch($client, ['index' => 'products']);
$result = $search->search('iPhone');
foreach ($result['hits'] as $hit) {
    echo $hit['product_id'] . ': ' . $hit['name'] . ' - ' . $hit['price'] . "
";
}
?>

The above code searches for documents containing the keyword 'iPhone' and outputs the search results. We can set search conditions and sorting methods according to actual needs to obtain more accurate search results.

6. Improve the relevance of search results

In order to improve the relevance of search results, we can use some advanced features provided by Manticore Search. For example, we can use weights to adjust the importance of fields. We can set the weight of the field using the following PHP code:

<?php
$index->update([
    'base' => 'products',
    'expr' => 'rank_expr',
    'ranker' => 'expr',
]);

The above code sets the weight of the field to 'rank_expr' and uses 'expr' as the sorting method. We can set weights at index creation time to increase the relevance of fields that need to be more important.

In addition to weighting, Manticore Search also provides many other functions, such as full-text search, fuzzy search, custom sorting, etc. Developers can choose appropriate features based on actual needs to improve the relevance of search results.

Conclusion:

By using PHP and Manticore Search, we can develop an application with highly relevant search results. Manticore Search has the characteristics of high performance, high scalability and high relevance, and can provide fast and accurate search results. Developers can use the features and APIs provided by Manticore Search to create indexes, add documents, and perform search operations. By adjusting field weights and using other advanced features, we can further improve the relevancy of our search results. I hope this article will be helpful to developers who use PHP and Manticore Search for search engine development.

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