Rightnow eservice center: internet customer service using a self-learning knowledge base

Authors:
Stephen D. Durbin;Doug Warner;J. Neal Richter;Zuzana Gedeon
Affiliations:
RightNow Technologies, Inc., P.O. Box 9300, Bozeman, MT;RightNow Technologies, Inc., P.O. Box 9300, Bozeman, MT;RightNow Technologies, Inc., P.O. Box 9300, Bozeman, MT;RightNow Technologies, Inc., P.O. Box 9300, Bozeman, MT
Venue:
Eighteenth national conference on Artificial intelligence
Year:
2002

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Abstract

Delivering effective customer service via the Internet requires attention to many aspects of knowledge management if it is to be convenient and satisfying for customers, while at the same time efficient and economical for the company or other organization. In RightNow eService Center, such management is enabled by automatically gathering meta-knowledge about the Answer documents held in the core knowledge base. A variety of AI techniques are used to facilitate the construction, maintenance, and navigation of the knowledge base. These include collaborative filtering, swarm intelligence, fuzzy logic, natural language processing, text clustering, and classification rule learning. Customers using eService Center report dramatic decreases in support costs and increases in customer satisfaction due to the ease of use provided by the "self-learning" features of the knowledge base.