International Association of Engineering and Management Education (IAEME)
Effective recommendation is the key to success of any online marketing strategy. In this paper, the authors discuss the design and development of a novel recommendation system for consumer products. The proposed system helps the customer to select product of their choice. When a prospective customer passes a query (name of the item) as an input to their system, their system returns a ranked list of suitable brands, models available for a particular item as an output. For this purpose, their system performs meta-searching to find top products on the basis of collected opinion/information from user blogs, customer reviews, and official websites of the producing companies.