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Research Article

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

  • Paper ID 2
  • Volume 1, Issue 1
  • Pages 06-09
  • Published Online: January-February 2021
  • 39 Views
Open Access Peer Reviewed

Authors

  • KesavaDasu1
  • K. VaddiKasulu2
  • K. Raj Kamal3
  • G. Pranith4

1234Dept. of. CSE, K L (Deemed to be University), Guntur, Andhra Pradesh, India.

Article Information

DOI
No DOI
Published Online
January-February 2021
Pages
06-09
Article Type
Research Article
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No DOI available for cross-reference

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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