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Use PHP and coreseek to create an accurate medical information search function
With the popularization of information technology, people's demand for medical information is getting higher and higher. However, it is difficult for traditional search engines to meet users' needs for accurate medical information search, so it is very important to develop a function that can provide accurate search for medical information. In this article, we will introduce how to use PHP and coreseek, a full-text indexing engine, to achieve this goal.
coreseek is a full-text search engine developed based on Sphinx. It is characterized by fast speed, powerful functions, support for Chinese word segmentation and multiple search modes. PHP is a popular server-side programming language with good database support and rich network programming interfaces.
First of all, we need to prepare the PHP and coreseek environments. We can download the latest coreseek installation package from the official website and install it according to the official documentation. After the installation is complete, we need to configure coreseek's indexing and search settings. In the coreseek configuration file (such as sphinx.conf), we need to specify parameters such as index fields, word segmentation configuration, and search mode. These parameters can be set according to actual needs.
Next, we need to interact with coreseek in PHP. PHP provides the sphinx extension to easily connect and operate coreseek. In the PHP code, we first need to connect to the coreseek search engine, which is implemented through the sphinx_connect function:
$sphinx = new SphinxClient(); $sphinx->setServer('localhost', 9312);
Here, we specify the coreseek connection address and port.
Next, we can set search conditions and search. We can use sphinx Query Language (SphinxQL) to build search statements. The following is a simple example. We search for information whose title and content contain the keyword "medical":
$sphinx->setMatchMode(SPH_MATCH_EXTENDED2); // 设置匹配模式 $sphinx->setFilter('category', [1]); // 设置过滤条件 $sphinx->setSortMode(SPH_SORT_RELEVANCE); // 设置排序方式 $sphinx->setLimits(0, 20); // 设置结果限制 $res = $sphinx->query('医疗'); // 执行查询 if ($res === false) { echo '查询失败'; } else { // 处理搜索结果 foreach ($res['matches'] as $match) { $docId = $match['id']; // 根据docId从数据库中获取详细信息 $info = $db->getInfo($docId); // 显示资讯信息 echo $info['title'] . '<br>'; echo $info['content'] . '<br><br>'; } }
In the code, we specify the matching mode as SPH_MATCH_EXTENDED2 through the sphinx->setMatchMode() function, which Indicates that we are using extended matching mode. The sphinx->setFilter() function is used to set filter conditions. Here we filter out non-medical category information. The sphinx->setSortMode() function is used to set the sorting method. Here we sort based on relevance. The sphinx->setLimits() function is used to limit the number of search results. Finally, we execute the query through the sphinx->query() function, and process and display relevant information based on the search results.
In addition to the basic search function, we can also further improve the accuracy and efficiency of search by setting different indexes and search parameters. For example, we can segment medical categories more granularly and personalize search results based on a user's search history and behavior. These need to be configured and implemented according to specific needs.
To sum up, by using PHP and coreseek, we can implement an accurate medical information search function. By setting appropriate indexing and search parameters, and using sphinx extensions for search operations, we can achieve fast, accurate and sophisticated medical information search. This will provide users with a more convenient and satisfactory medical information search experience.
I hope this article can help readers understand how to use PHP and coreseek to build accurate medical information search functions, and can expand and optimize them according to actual needs. Wish everyone good luck with development!
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