A Study of Various Recommended Systems for Social Networks
نویسندگان
چکیده
The goal of the most recommendation system is to predict the buyer’s interest. Recommendation systems are widely used to recommend products to the end users that are most appropriate. Recommendation system is one of the stronger tools to increase profit and retaining buyer. This recommendation system works offline and stores recommendations in the buyer’s web profile. The amazon store significantly improvements predicated on customer pursuits, showing development brands to a computer software engineer and child toys to a new mother. The overall objective of this paper is to evaluate various limitations in earlier recommended systems and find suitable directions to improve the existing recommended systems. Keywords— Recommended system, Social networks, Linear regression, Neural network, Random forest.
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تاریخ انتشار 2016