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BIOCHEMISTRY OF FASTING – A REVIEW ON METABOLIC SWITCH AND AUTOPHAGY.
Volume - 13 | Issue-1
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ONE-POT ENVIRONMENT FRIENDLY SYNTHESIS OF IMINE DERIVATIVE OF FURFURAL AND ASSESSMENT OF ITS ANTIOXIDANT AND ANTIBACTERIAL POTENTIAL
Volume - 13 | Issue-1
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MODELING AND ANALYSIS OF MEDIA INFLUENCE OF INFORMATION DIFFUSION ON THE SPREAD OF CORONA VIRUS PANDEMIC DISEASE (COVID-19)
Volume - 13 | Issue-1
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INCIDENCE OF HISTOPATHOLOGICAL FINDINGS IN APPENDECTOMY SPECIMENS IN A TERTIARY CARE HOSPITAL IN TWO-YEAR TIME
Volume - 13 | Issue-1
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SEVERITY OF URINARY TRACT INFECTION SYMPTOMS AND THE ANTIBIOTIC RESISTANCE IN A TERTIARY CARE CENTRE IN PAKISTAN
Volume - 13 | Issue-1
COMPARING CONFIDENCE RATE OF NOVEL ITEM-ITEM COLLABORATIVE FILTERING ALGORITHM WITH APRIORI TECHNIQUE FOR BOOK RECOMMENDATION SYSTEM
Main Article Content
Abstract
Aim:Comparing confidence rate of Novel ITEM-ITEM collaborative filtering algorithm with Apriori Technique for efficient recommendation of top ranked books on different disciplines in computer science. Materials and Methods:The Novel ITEM-ITEM (N=10) and Apriori Algorithm (N=10) these two algorithms are calculated by using 2 Groups and I have taken 20 samples for both algorithm and accuracy in this work. Results: Based on the Results Accuracy obtained in terms of accuracy is identified by Novel ITEMITEM( 94.1%)over Apriori algorithm (93%).Statistical significance difference between Novel ITEM-ITEM algorithm and Apriori Algorithm was found to be 0.04 (p<0.05). Conclusion:The Prediction of finding efficient recommendation of top ranked books on different disciplines in computer science Novel ITEM-ITEM when compared with Aprioris
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