Big Data

Promotion Analysis in Multi-Dimensional Space

Date Added: Aug 2009
Format: PDF

Promotion is one of the key ingredients in marketing. It is often desirable to find merit in an object (e.g., product, person, organization, or service) and promote it in an appropriate community. In this paper, the authors propose a novel functionality, called promotion analysis through ranking, for promoting a given object by leveraging highly ranked results. Since the object may not be highly ranked in the global space, their goal is to discover promotive subspaces in which the object becomes prominent. To achieve this goal, the notion of promotiveness is formulated. The authors show that this functionality is practical and useful in a wide variety of applications such as business intelligence.