text: by looking up the author of the tweet.Search Context Features: These features represent the context of the current searcher, like their UI language, their content consumption, and the current time (implied). They are combined with Tweet Data to compute some of the features used in scoring.These inputs are then processed by the Heavy Ranker to score and rank candidates based on their relevance and likelihood of engagement by the user. -> Question: How can one influence Heavy ranker?Answer: To influence the Heavy Ranker's output or ranking of content, consider the following actions:Improve content quality: Create high-quality and engaging content that is relevant, informative, and valuable to users. High-quality content is more likely to receive positive user engagement, which the Heavy Ranker considers when ranking content.Increase user engagement: Encourage users to interact with content through likes, retweets, replies, and comments. Higher engagement levels can lead to better ranking in the Heavy Ranker's output.Optimize your user profile: A user's reputation, based on factors such as their follower count and follower-to-following ratio, may impact the ranking of their content. Maintain a good reputation by following relevant users, keeping a reasonable follower-to-following ratio and engaging with your followers.Enhance content discoverability: Use relevant keywords, hashtags, and mentions in your tweets, making it easier for users to find and engage with your content. This increased discoverability may help improve the ranking of your content by the Heavy Ranker.Leverage multimedia content: Experiment with different content formats, such as videos, images, and GIFs, which may capture users' attention and increase engagement, resulting in better ranking by the Heavy Ranker.User feedback: Monitor and respond to feedback for your content. Positive feedback may improve your ranking, while negative feedback provides an opportunity to learn and improve.Note that the Heavy Ranker uses a combination of machine learning models and various features to rank the content. While the above actions may help influence the