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Use PHP and Xunsearch to build an efficient paper retrieval engine

王林Original: 2023-08-02 16:24:18883browse

Introduction:
With the rapid development of science and technology, academic research results have shown explosive growth, and there are more and more papers in various fields. Finding papers in a specific field has become an indispensable job for scientists and researchers. However, traditional paper retrieval tools often have problems such as slow retrieval speed and inaccurate results. This article will introduce how to use PHP and Xunsearch to build an efficient paper retrieval engine and provide fast and accurate retrieval results.

1. Introduction to Xunsearch
Xunsearch is a high-performance full-text retrieval solution that is fast and accurate. It is written in C and provides PHP extension modules, so it can be well integrated with PHP.

2. Environment preparation

Installing Xunsearch
First you need to install Xunsearch on the server, which can be downloaded and installed from the official website (http://www.xunsearch.com/) package, install it according to the official documentation. After the installation is complete, copy the Xunsearch related files to the PHP extension directory and add the extension module add-on to the php.ini file.
Data preparation
Before building the paper retrieval engine, we need to prepare the paper data to be retrieved. Suppose we have a MySQL database table papers that contains fields such as title, author, and abstract. You can use the following code to create this table:

CREATE TABLE papers (
    id INT(11) UNSIGNED AUTO_INCREMENT PRIMARY KEY,
    title VARCHAR(255) NOT NULL,
    author VARCHAR(255) NOT NULL,
    abstract TEXT NOT NULL
);

Insert paper data into the papers table for subsequent retrieval operate.

3. Build the search index

Initialize Xunsearch
First, we need to initialize Xunsearch and load the data that needs to be retrieved. It can be initialized through the following PHP code:

require_once('/path/to/XS.php');

$xs = new XS('papers');
$index = $xs->index;

$sql = 'SELECT id, title, author, abstract FROM papers';
$result = $mysqli->query($sql);

while ($row = $result->fetch_assoc()) {
    $doc = new XSDocument;
    $doc->setFields($row);
    $index->add($doc);
}

$index->flushIndex();

Among them, /path/to/XS.php is the PHP extension module path of Xunsearch, and papers is the name of the index we created.

Create a retriever
Next, we need to create a retriever for actual retrieval operations. The searcher can be established through the following PHP code:

require_once('/path/to/XS.php');

$xs = new XS('papers');
$search = $xs->search;

$keywords = $_GET['keywords'];

$search->setQuery($keywords);

$result = $search->search();

foreach ($result as $item) {
    echo '标题：' . $item->title . '<br>';
    echo '作者：' . $item->author . '<br>';
    echo '摘要：' . $item->abstract . '<br><br>';
}

Among them, $keywords is the search keyword entered by the user, which can be obtained through $_GET['keywords']. $result is an array of search results. By traversing the array, you can get the title, author, and abstract information of each paper.

4. Using the paper retrieval engine
Through the above steps, we have successfully built an efficient paper retrieval engine. Now users can quickly search for relevant papers on the web by entering keywords.

<html>
<head>
<title>论文检索引擎</title>
</head>
<body>
<form action="search.php" method="get">
    <input type="text" name="keywords" placeholder="请输入关键词">
    <input type="submit" value="搜索">
</form>
</body>
</html>

The above code is a simple search interface. The user can enter keywords in the text box and click the "Search" button to perform the search operation. Search results will be displayed on the page, including the paper's title, author, and abstract information.

Summary:
This article introduces how to use PHP and Xunsearch to build an efficient paper retrieval engine. By initializing Xunsearch and establishing a search engine, we can achieve fast and accurate paper retrieval. This paper search engine can be applied to scientific research work in various fields to help scientists and researchers better find the papers they need. At the same time, we can also expand functions according to specific needs, such as adding advanced search, result sorting and other functions to improve user experience.

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