Abstract: Disclosed herein are system, method, and computer program product embodiments for training a bot orchestrator for chatbot selection. An embodiment operates by collecting a set of expressions from training data sets of a plurality of chatbots. For each pair of expressions, the embodiment calculates a mathematical distance between an expression for a first chatbot in the respective pair of expressions and an expression for a second chatbot in the respective pair of expressions. The embodiment filters the set of expressions based on the calculated mathematical distances, thereby generating a filtered set of expressions. The embodiment then trains a machine learning-based classification model of the bot orchestrator using the filtered set of expressions.

Abstract: A method, a system, and a computer program product for executing intent classification based on user feedback in a digital assistant environment. Using a natural language processor, an audio input received from user is processed. At least one implicit feedback parameter is extracted from the processed audio input. The feedback parameter classifies an intent derived from the audio input received from the user. The extracted feedback parameter is stored in a replay memory. The replay memory stores labeled data associated with the audio input received from the user. Based on the processed audio input and the labeled data, an initial response to the received audio input is determined. Modeling of the extracted implicit feedback parameter and the stored labeled data is executed. An updated response to the received audio input is generated.

Abstract: A method, a system, and a computer program product for executing intent classification based on user feedback in a digital assistant environment. Using a natural language processor, an audio input received from user is processed. At least one implicit feedback parameter is extracted from the processed audio input. The feedback parameter classifies an intent derived from the audio input received from the user. The extracted feedback parameter is stored in a replay memory. The replay memory stores labeled data associated with the audio input received from the user. Based on the processed audio input and the labeled data, an initial response to the received audio input is determined. Modeling of the extracted implicit feedback parameter and the stored labeled data is executed. An updated response to the received audio input is generated.

Abstract: A tracking unit for solar collectors has at least two panels, which can each be pivoted about a longitudinal axis. The axes are arranged on a rotable frame on one plane. The position of each axis within the individual panels is offset by a offset ?x in relation to the adjacent panels. The individual panels are moved by means of a lifting mechanism that pivots each of the panels about the same angle. This arrangement significantly reduces mutual shading and increases efficiency by about 10%.