An artificial intelligence based (AI-based) content generation method for generating one or more persona-based question answers to optimize user experiences based on one or more personas and diversity of answers, the artificial intelligence based (AI-based) content generation method comprising:
- obtaining, by one or more hardware processors, one or more inputs from one or more electronic devices of one or more first users, wherein the one or more inputs comprise one or more information related to one or more questions from the one or more first users;
- identifying, by the one or more hardware processors, one or more second users based on one or more criteria associated with the one or more inputs received from the one or more electronic devices of the one or more first users, by an artificial intelligence model, wherein the one or more second users are one or more experts responding with one or more persona-based answers to the one or more questions provided by the one or more first users, and
- wherein the one or more criteria associated with the one or more inputs comprise at least one of:
- expertise of the one or more second users to answer to the one or more questions, one or more written materials of the one or more second users in support of the one or more questions, popularity of the one or more second users, and ratings of the one or more second users based on historical interactions with the one or more first users in answering the one or more questions;
- generating, by the one or more hardware processors, a list of information associated with the one or more second users based on the one or more criteria associated with the one or more inputs, wherein the list of information associated with the one or more second users comprise at least one of one or more identical persona-based answers to the one or more questions and one or more different persona-based answers to the one or more questions;
- generating, by the one or more hardware processors, one or more confidence scores for the list of information associated with the one or more second users based on one or more attributes of the one or more second users using the artificial intelligence model, wherein the one or more attributes of the one or more second users comprise at least one of:
- expertise of the one or more second users to answer the one or more questions of the one or more first users, one or more explicit preferences of inclusion and exclusion of the one or more second users set by the one or more first users, an implicit preferences of the one or more first users learned by the artificial intelligence model, one or more goals and values of at least one of:
- one or more organizations and the one or more experts, one or more guidelines set by the one or more organizations, and one or more optimized practices in the one or more organizations;
- ranking, by the one or more hardware processors, the one or more second users based on the generated one or more confidence scores using the artificial intelligence model;
- generating, by the one or more hardware processors, the one or more personas associated with an optimized second user among the ranked one or more second users based on ranking of the one or more second users using the artificial intelligence model, wherein the generated one or more personas associated with the optimized second user comprises the one or more persona-based answers corresponding to the one or more questions, and wherein the one or more persona-based answers are generated based on the content of the one or more second users and in at least one of voice, tone, and style, of the one or more optimized second user;
- analyzing, by the one or more hardware processors, one or more objectives of the one or more first users based on the one or more persona-based answers generated for the one or more questions;
- automatically generating, by the one or more hardware processors, one or more subsequent questions for the one or more first users to pursue an interaction between the one or more personas and the one or more first users, based on the analysis of one or more objectives of the one or more first users by the one or more personas and the artificial intelligence based (AI-based) content generation system;
- providing, by the one or more hardware processors, an output of at least one of:
- the generated one or more personas associated with the optimized second user, with the one or more persona-based answers, the one or more subsequent questions, and the diversity of the one or more personas based on a diversity of the one or more second users, to the one or more first users through one or more user interfaces associated with the one or more electronic devices;
- and
- training, by the one or more hardware processors, the artificial intelligence (AI) model, by:
- obtaining, by the one or more hardware processors, one or more data from one or more data sources comprising at least one of one or more books, one or more multimedia contents, one or more articles, one or more blog posts, one or more social media posts, and one or more websites, wherein the one or more data comprise at least one of:
- one or more titles, one or more authors associated with the one or more second users, and one or more contents;
- training, by the one or more hardware processors, the artificial intelligence (AI) model on the obtained one or more data using a learning algorithm;
- fine-tuning, by the one or more hardware processors, the trained artificial intelligence (AI) model on one or more task-specific datasets associated with the one or more data to optimize performance of the artificial intelligence (AI) model;
- and
- evaluating, by the one or more hardware processors, the trained artificial intelligence (AI) model to assess capabilities of the artificial intelligence (AI) model in at least one of:
- identifying the one or more second users, generating the one or more subsequent questions, and generating the one or more personas associated with the one or more second users, with the one or more persona-based answers for the one or more questions.