Uma Sahu, A. Tripathy, Apurva Chitnis, Karen Aubrey Corda, Sharon Rodrigues
{"title":"Personalized recommendation engine using HADOOP","authors":"Uma Sahu, A. Tripathy, Apurva Chitnis, Karen Aubrey Corda, Sharon Rodrigues","doi":"10.1109/ICTSD.2015.7095901","DOIUrl":null,"url":null,"abstract":"More and more E-commerce Websites provide products with different prices which made it hard for consumers to find the products and services they want. In order to overcome this data overload, personalized recommendation engines are used to suggest products and to provide consumers with relevant data to help them decide which products to purchase. Recommendation engines are highly computational and hence ideal for the Hadoop Platform. This system aims at building a book recommendation engine which uses item or user based recommendation from Mahout for recommending books. It will analyze the data and give suggestions based on what similar users did and on the past transaction history of the user.","PeriodicalId":270099,"journal":{"name":"2015 International Conference on Technologies for Sustainable Development (ICTSD)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Technologies for Sustainable Development (ICTSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTSD.2015.7095901","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
More and more E-commerce Websites provide products with different prices which made it hard for consumers to find the products and services they want. In order to overcome this data overload, personalized recommendation engines are used to suggest products and to provide consumers with relevant data to help them decide which products to purchase. Recommendation engines are highly computational and hence ideal for the Hadoop Platform. This system aims at building a book recommendation engine which uses item or user based recommendation from Mahout for recommending books. It will analyze the data and give suggestions based on what similar users did and on the past transaction history of the user.