Key technologies for developing intelligent question and answer systems using PHP and coreseek

Key technologies for developing intelligent question and answer systems using PHP and coreseek

Introduction:
With the rapid development of artificial intelligence technology, question and answer systems have been widely used in various fields. The question and answer system can help users quickly obtain the information they need and improve work efficiency by automatically extracting information from different data sources and generating answers. This article will introduce how to use PHP and coreseek to develop an intelligent question and answer system, and give key technical examples.

1. Introduction to coreseek
Coreseek is an open source full-text search engine software that searches for relevant content in indexed documents and returns results based on the keywords provided by the user. Core technologies include word segmentation, indexing, search, etc.

2. Install and configure coreseek

1. Download the coreseek source code and extract it to the specified directory.
2. Enter the coreseek source code directory and execute the "./configure" command.
3. Execute the "make" command to compile, and then execute "make install" to install.
4. Enter directories such as sphinx, modify the configuration file sphinx.conf, and configure index and search related parameters.

3. Data preparation for the question and answer system
In the question and answer system, it is necessary to prepare data sets of questions and answers. You can use two files, keyword1.txt and keyword2.txt, as data sources for questions and answers.

4. The main implementation steps of the question and answer system

1. Write PHP code and connect to the coreseek server.

   <?php
   $sphinx = new SphinxClient;
   $sphinx->SetServer('localhost', 9312);

2. Call coreseek to search based on the questions entered by the user.

   <?php
   $keywords = "我是问题";
   $sphinx->SetMatchMode(SPH_MATCH_ALL);
   $result = $sphinx->Query($keywords, 'questions');

3. Parse the search results and obtain related questions.

   <?php
   if ($result === false) {
    echo "搜索失败";
   } else {
    if ($result['total'] > 0) {
        $question_ids = "";
        foreach ($result['matches'] as $match) {
            $question_ids .= $match['id'] . ",";
        }
    }
   }

4. Query the corresponding answer based on the question ID.

   <?php
   if (!empty($question_ids)) {
    $question_ids = rtrim($question_ids, ",");
    $sql = "SELECT * FROM answers WHERE question_id IN ($question_ids)";
    $answers = get_data_from_db($sql); // 自定义方法，从数据库中获取数据
   }

5. Output answers based on user questions and search results.

   <?php
   if (count($answers) > 0) {
    foreach ($answers as $answer) {
        echo "问题：".$answer['question']."<br/>";
        echo "答案：".$answer['answer']."<br/>";
    }
   } else {
    echo "没有匹配的答案";
   }

5. Summary
This article introduces how to use PHP and coreseek to develop an intelligent question and answer system. By connecting to the coreseek server, searches are performed based on the questions entered by the user, and then the corresponding answers are queried based on the search results. In the process of outputting to the user, relevant questions and answers can be quickly matched.

Today’s question and answer systems have become more and more intelligent driven by artificial intelligence, but the core technology is still based on keyword matching. In the future, we can use more advanced natural language processing technology to improve the intelligence level of the question and answer system, so that it can truly understand the user's intention and give more accurate and intelligent answers.

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