intentprediction
Intent prediction is the task of inferring a user’s intended goal or next action from available information such as text, speech, context, and historical interactions. It is used to anticipate needs, streamline interactions, and tailor responses or routing in software systems, chatbots, and assistants.
Approaches to intent prediction typically involve supervised learning with labeled data. Models range from traditional classifiers
Applications span dialog systems and voice assistants, search and recommender systems, customer support automation, ecommerce, and
Evaluation of intent prediction uses metrics such as accuracy, precision, recall, F1 score, and area under the
Challenges include ambiguity in user input, imbalanced or evolving intent distributions, data privacy and consent concerns,