Abstract
Abstract: Social Questions and Answers are a relatively recent feature on social media sites. It presents unique obstacles as well as potential for referral. In this project, we will examine the user's lifestyle. We will compute based on the results of the search. In this, we search any question, and the system reads these things and identifies the user's character. Based on this, we recommend the query to a user with a similar character. We show via trials with actual social networking sites, that social network and appears information may greatly improve the accuracy of popularity-based voting recommendations, but also that social media site information dominates corresponds information in NN-based methods. voting traces. We also discovered that chilly users value social and group information far more than heavy users. (Abstract) Keywords: Life-Style,, Aws services,
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