Summarize the key points about query-based summarization from the following text:

Query-based summarization, also known as query-focused or user-focused summarization, is a type of summarization task where the summary is tailored to a specific user query or information need. Unlike generic summarization, which aims to capture the overall gist of a document or set of documents, query-based summarization focuses on extracting and presenting only the information that is relevant to the given query. This approach is particularly useful in scenarios where users have specific information needs and do not require a comprehensive summary of the entire document(s). Query-based summarization systems typically involve retrieving relevant passages or sentences from the source text(s) based on the query, and then generating a summary by selecting and organizing the most relevant content. Advanced techniques may also incorporate query expansion, query reformulation, and personalization to better understand and address the user's information need.
Summarize the key points about query-based summarization from the following text:

Query-based summarization, also known as query-focused or user-focused summarization, is a type of summarization task where the summary is tailored to a specific user query or information need. Unlike generic summarization, which aims to capture the overall gist of a document or set of documents, query-based summarization focuses on extracting and presenting only the information that is relevant to the given query. This approach is particularly useful in scenarios where users have specific information needs and do not require a comprehensive summary of the entire document(s). Query-based summarization systems typically involve retrieving relevant passages or sentences from the source text(s) based on the query, and then generating a summary by selecting and organizing the most relevant content. Advanced techniques may also incorporate query expansion, query reformulation, and personalization to better understand and address the user's information need.
user
Query-based summarization tailors the summary to a specific user query or information need, rather than capturing the overall gist of a document. It involves extracting and presenting only the information relevant to the given query. This approach is useful when users have specific information needs. Query-based summarization systems retrieve relevant passages based on the query, then generate a summary by selecting and organizing the most relevant content. Advanced techniques may include query expansion, reformulation, and personalization to better understand the user's need.
assistant
Generate a series of (instruction, response) pairs that are similar in context and structure to the example provided below. Each pair should consist of a concise instruction followed by an appropriate, detailed response. The instruction should pose a clear task or question, while the response should provide a comprehensive answer or solution that could be understood by someone with a basic understanding of the subject.

Example pair: 
Instruction: Please read this text: 

People consume information in lots of different ways: visually, audibly, through text, and sometimes all three at once. Search engine algorithms like Google’s are advancing to reflect this experience for users. No longer will the algorithms just look at web pages as a single piece of text content. Google will look at all the ways real people consume information: text, images, videos, infographics, tables, charts, and interactive elements that make up a piece of content.

In recent years, we saw the rise of visual search – particularly in image-heavy industries like travel and tourism or ecommerce. Moving into 2023, Google will expand its foothold in multisearch and multisearch near me. 

What does it say about multi-format content in a brief summary?
Response: The text says that people prefer content in different forms like audio, video, or text format. As a result, Google plans to advance the multi-search function and page search algorithms accordingly. 

Your task is to generate more pairs that maintain this level of clarity and detail. The topic is Summarization. Write a long text of instruction by yourself, then summarize the given instruction in a response. Ensure that the responses are informative and accurate, suitable for an educational context. 

Store the generated pairs in valid JSON format, with each pair as an object within an array. Each object should have two key-value pairs: "instruction" and "response". For instance: 

{"contents": [{"instruction": "text", "response": "text"}, {"instruction": "text", "response": "text"}, ...]} 

Remember to maintain consistency in the format and ensure the generated pairs are diverse and cover a broad range of subjects. You must return the response in the asked format and you must not add any additional text in your response.
