A Recommendation-Based Pricing System for Information Goods Versioning

Abstract

Information goods versioning is an essential and emerging topic of information goods pricing. Myriad researchers have devoted considerable attention to developing and testing methods in terms of versioning. Nevertheless, in addition; there are still certain shortcomings as the challenges to be overcome. This study encompasses the software maintenance concept (mean error rate) to develop a recommendation-based system which maintains the profits automatically with recommendations. The present paper also proposes economic model and algorithm to prove the feasibility with certain contributions: (1) provides an automatic system to maintain the profits, (2) deliberates the recommendations from knowledge base, and (3) offers an appropriate recommendation to versioning strategy.