publication . Article . 2016

PRS: PERSONNEL RECOMMENDATION SYSTEM FOR HUGE DATA ANALYSIS USING PORTER STEMMER

T N Chiranjeevi; R H Vishwanath;
Open Access English
  • Published: 01 Apr 2016 Journal: ICTACT Journal on Soft Computing (issn: 0976-6561, eissn: 2229-6956, Copyright policy)
  • Publisher: ICT Academy of Tamil Nadu
Abstract
Personal recommendation system is one which gives better and preferential recommendation to the users to satisfy their personalized requirements such as practical applications like Webpage Preferences, Sport Videos preferences, Stock selection based on price, TV preferences, Hotel preferences, books, Mobile phones, CDs and various other products now use recommender systems. The existing Pearson Correlation Coefficient (PCC) and item-based algorithm using PCC, are called as UPCC and IPCC respectively. These systems are mainly based on only the rating services and does not consider the user personal preferences, they simply just give the result based on the rating...
Subjects
free text keywords: Recommender System, Preferences, Similarity, Data Reduction, Prediction, Computer engineering. Computer hardware, TK7885-7895
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