A Natural Language Interface for Search and Recommendations of Digital Entertainment Media
Shrinivas Venkataraman, N.A. Mohaideen · 2015
We describe an integrated platform that combines a search and recommendations system of digital media with a novel conversation interface that enables users to use natural-language conversation for performing a variety of tasks on the digital content and information retrieval relating to meta-content. This advanced platform is built over a knowledge graph that consists of millions of tagged entities, along with structured relationships and popularities crawled and ingested from multiple sources, continuously evolving over time. The voice system uses a unique extensible architecture that combines natural language processing (NLP) techniques with named entity recognition of the knowledge graph determining both intent as well as entities extracted from user queries. Relationships between entities in the knowledge graph aid in identifying the right entities thereby creating meaningful, contextual, and temporally relevant interpretations.