Semantic Recommender Systems

By using semantic technologies, recommendation systems can deliver more accurate results: For instance, self service interfaces can help vendors of (sometimes complex) service and products to increase customer satisfaction. Applications like FAQ-systems which are based on semantic technologies help to find not only the right answers, but also the right questions and corresponding sections of the knowledge base or the technical documentation.

For example: SWC's product PoolParty has an FAQ-system to find answers for frequently asked questions instantly. The system helps to find questions, answers and corresponding pages in the documentation – with a little help from semantics: the FAQ-system is based on PoolParty PowerTagging and automatic content recommender for Confluence.

It can be seen as a ‘general approach’ for digital assistants in the fields of self-servicing and e-care especially for complex services and products.