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: Brief me on what is going on in this news clipping: 

Thousands of Hollywood TV and movie screenwriters have downed tools after last-minute talks with major studios over wages broke down.

A Writers Guild of America (WGA) strike, the first in 15 years, saw more than 11,000 writers - 98% of voting members - walk out from midnight.

Tuesday's late-night shows are expected to shut down first, while forthcoming shows and films could face delays.

Picketing will begin on Tuesday afternoon, the Guild also said.

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In 2007, writers went on strike for 100 days, at an estimated cost of around $2bn to the industry.

This time around, writers are clashing with the Alliance of Motion Picture and Television Producers (AMPTP) - which represents the major studios, including Amazon, Disney, Netflix and Paramount - in demand of higher pay and a greater share of the profits from the modern streaming boom.
Response: Thousands of screenwriters have set down their tools for the first time in 15 years. There will be a lot of financial repercussions, as these writers are demanding higher pay and a bigger share in the profits being made. 

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.

Summarize the process of recommendation systems, their key components, and their applications as described in the following text: Recommendation systems are a type of information filtering system that predicts the preferences or ratings a user would give to an item. These systems use a variety of techniques, including collaborative filtering, content-based filtering, and hybrid approaches. Collaborative filtering analyzes past interactions to identify similarities between users and items, while content-based filtering matches items to user preferences based on item metadata. Recommendation systems are widely used in e-commerce, streaming services, social media, and other online platforms to suggest relevant products, movies, music, or content to users based on their past behavior and preferences.
user
The given text explains recommendation systems, which are information filtering systems that predict user preferences or ratings for items. It outlines key techniques used in recommendation systems: collaborative filtering (analyzing past interactions to find user-item similarities), content-based filtering (matching items to user preferences based on metadata), and hybrid approaches combining both methods. The text also mentions that recommendation systems are widely employed in e-commerce, streaming services, social media, and other online platforms to suggest relevant items like products, movies, music, or content to users based on their past behavior and preferences.
assistant