Systematic Review of Data Mining based Recommendation Methods Reference to Business to Business (B2B) Recommendation

In today's recommendation methods, the web-based approach is used for recommending the set of ranked and limited products from all available products of the same category without using direct inputs from end users. The Business to Business (B2B) services is one of the application areas in which recommendation techniques should be applied, but due to the complex items and users profiles, it becomes difficult to apply. In this paper, we presented the systematic review of novel fuzzy preference graph based B2B marketing campaign recommendation system to address the challenges of the complex and dynamic nature of the business buying process. The fuzzy approach used to address the challenges of vague or fuzzy online users preferences problem. The investigation and comparative analysis of recent studies related to the B2B recommendation system considered in this review. The outcome of this paper claims the various research gaps identified from the literature review.