Article details

Research area
Natural language & AI

Location
SIGDIAL'2015, Prague, Czech Republic

Date
2015

Author(s)
Deepak Ramachandran, Mark Fanty, Ronald Provine, Peter Yeh, William Jarrold, Adwait Ratnaparkhi, Benjamin Douglas

A TV Program Discovery Dialog System Using Recommendations

Synopsis:

We present an end-to-end conversational system for TV program discovery that uniquely combines advanced technologies for NLU, Dialog Management, Knowledge Graph Inference and Personalized Recommendations. It uses a semantically rich relational representation of dialog state and knowedge graph inference for queries. The recommender combines evidence for user preferences from multiple modalities such as dialog, user viewing history and activity logs. It is tightly integrated with the Dialog System, especially for explanations of recommendations. A demo of the system on a iPad will be shown.

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