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Research Article

A Cuisine Based Recommender System Using k-NN and Map reduce Approach

KesavaDasu1 K. VaddiKasulu2 K. Raj Kamal3 G. Pranith4
1234Dept. of. CSE, K L (Deemed to be University), Guntur, Andhra Pradesh, India.

Published Online: January-February 2021

Pages: 06-09

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References

1. C.C.Aggarwal,RecommenderSystems:TheTextbook,SpringerInternationalPublishingSwitzerland2016.
2. Zhi-Dan Zhao, Ming-Sheng Shang, ”User-based Collaborative-FilteringRecommendation Algorithms on Hadoop” Third
International ConferenceonKnowledgeDiscoveryandDataMining2010.
3. Anjali Gautam and PunamBedi, ”Developing content-based recommender system using Hadoop Map Reduce”, Journal of Intelligent
& FuzzySystems32 (2017)2997–3008,2017.
4. BidyutKr.Patra,RaimoLaunonen,VilleOllikainen,SukumarNandi,”AnewsimilaritymeasureusingBhattacharyya
coefficientforcollaborativefilteringinsparsedata”,KNOSYS3090,12March2015.
5. ChenyangLiKejingHe“CBMR:AnoptimizedMapReduceforitem-based collaborativefilteringrecommendationalgorithmwith empirical
analysis”, Concurrency and computation Practice and experienceVolume29,Issue1025 May2017.
6. Moon-HeePark,Han-SaemPark,andSung-BaeCho“RestaurantRecommendation for Group of People in Mobile Environments
Using Probabilistic Multi-criteria Decision Making”, APCHI 2008, LNCS 5068,pp.114–122,2008

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