Abstract: The “relevant” participants for each person in an online meeting may be automatically identified and a personalized view created to dynamically represent these relevant people as the meeting progresses. Relevancy of participants may be determined based on a number of factors and data from a variety of sources at the initialization of the meeting or when the participant for whom the personalized view is created joins the meeting. The relevancy computation may be updated and the personalized view dynamically changed during the meeting based on changes in participants, their participation modality, and comparable factors.

Abstract: The “relevant” participants for each person in an online meeting may be automatically identified and a personalized view created to dynamically represent these relevant people as the meeting progresses. Relevancy of participants may be determined based on a number of factors and data from a variety of sources at the initialization of the meeting or when the participant for whom the personalized view is created joins the meeting. The relevancy computation may be updated and the personalized view dynamically changed during the meeting based on changes in participants, their participation modality, and comparable factors.

Abstract: In general, this disclosure describes techniques of using a grammar to identify concepts expressed by audio messages and text messages and to respond to the concepts expressed by the audio messages and the text messages. As described herein, a server may receive audio messages and text messages. The server may use the same grammar to identify concepts expressed in the audio messages and in the text messages. Consequently, there may be no need for different grammars to identify concepts expressed in audio messages and to identify concepts expressed in text messages. After the server identifies a concept expressed in either an audio message or a text message, the server may generate and send an audio message or a text message that includes a response that is responsive to a concept expressed in the audio message or the text message.