Affiliations Department of CSE, G.Pullaiah College of Engineering and Technology. Kurnool JNTU Anatapur, Andhra Pradesh, India
Outstanding achievement of rising Web 2.0, and distinctive informal community (social network) Sites, for
example, Amazon and motion picture lens, recommender frameworks are making remarkable chances to help individuals
scanning the web when searching for pertinent data, and settling on decisions. By and large, these recommender
frameworks are arranged in three classifications: content based, collaborative separating, and cross breed based
suggestion frameworks. As a rule, these frameworks utilize standard suggestion routines, for example, counterfeit neural
networks, nearest neighbor, or Bayesian systems. Be that as it may, these methodologies are constrained contrasted with
systems focused around web applications, for example, informal communities or semantic web. In this paper, we propose a
novel methodology for suggestion frameworks called semantic social proposal frameworks that improve the assessment of
informal communities (social network) abusing the force of semantic interpersonal organization investigation. Investigates
true information from Amazon look at the nature of our suggestion system and additionally the execution of our proposal
A.Kirankumar,P.Ganesh Kumar Reddy,A.Ram Charan Reddy,Baneti Shivaji,D.Jayanarayan Reddy."A Logic-based Friend Reference Semantic System for an online Social Networks". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.1, Issue 06,pp.501-506, DECEMBER - 2014, URL :https://ijcert.org/ems/ijcert_papers/V1I622.pdf,
Keywords : Semantic System, Social Networks, Recommendation systems
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