Intelligent Travel Advisor
Roshni Ramnani, Shubhashis Sengupta, Poulami Debnath · 2018
We present a goal oriented virtual agent for task planning, inference and user personalization. The dialog system of the agent models the activities in the form of a task graph. Coordination and planning of these tasks are done through associated constraints and interdependencies. The system uses the interaction history of an individual and a basic user preference model to create a personalized travel planning experience, as an example. Sophisticated natural language understanding techniques are used to identify multiple intents from user, and partial user utterances. In this demonstration we show how the virtual agent can be used to help the user organize his/her day by performing a multitude of related activities including scheduling meetings, retrieving flight itineraries, making routing decisions by analyzing traffic patterns, retrieving hotel accommodation options and suggesting restaurants by integrating with multiple external systems as well as a decision support engine and knowledge graph.