Abstract: Systems and techniques for interest matched interaction initialization are described herein. A first set of profile attributes for a first user and second set of profile attributes for a second user may be obtained. A first set of data sources and a second set of data sources may be identified respectively using the first set and second set of profile attributes. A first dataset and a second dataset may be collected respectively using the first and second set of data sources. An interest vector model may be generated using data elements of the first dataset based on an interest identified in the first dataset. The second dataset may be evaluated using the interest vector model to identify the interest as a shared interest in the second dataset. An interaction initialization item may be generated by identifying content associated with the shared interest. The interaction initialization item may be transmitted to a device.

Abstract: Systems and techniques for response generation for predicted even-driven interactions are described herein. A set of event data and a set of interaction data may be obtained. The set of event data and the set of interaction data may be evaluated to determine a correlation between an event that corresponds to the set of event data and an interaction that corresponds to the set of interaction data. A set of profile data may be collected that is associated with the interaction. The set of profile data may be compared to a user profile to determine a predicted interaction. Options to respond to the predicted interaction may be transmitted to an administrator based on the comparison.