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An Efficient Personalized Hotel Recommendation System for Big Data Applications

Academic Journal of Accounting and Economic Researches

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Field Value
 
Title An Efficient Personalized Hotel Recommendation System for Big Data Applications
 
Creator Blesson Raja di, B.
Arhun, A.R.
Shanthi, Dr.A.V.K.
 
Description Administration recommender frameworks have been indicated as important apparatuses for  giving  proper  proposals  to  clients.  In  the  most  recent  decade,  the  measure  of  clients, administrations  and  online  data  has  developed  quickly,  yielding  the  enormous  information examination issue for administration recommender frameworks. Also the greater part of existing administration  recommender  frameworks,  exhibit  the  same  appraisals  and  rankings  of administrations  to  distinctive  clients  without  considering  various  clients'  inclination,  and  hence neglects  to  meet  clients'  customized  necessities.  Consequently  we  approach  a  customized administration proposal rundown for the most suitable administrations to clients, by proposing a keyword-aware  suggestion  strategy  and  Natural  Language  Processing,  to  address  the  above difficulties. Particularly, keywords are utilized  to demonstrate clients' inclination, and a client based Collaborative Filtering calculation is received to create proper suggestions. To enhance its versatility and productivity in vast information environment, it is actualized on Hadoop platform, a generally embraced appropriated figuring stage utilizing the Map Reduce parallel transforming framework. At long last, far reaching trials are directed on certifiable information datasets, and results exhibit that personalized  search  technique  fundamentally  enhances  the  exactness  and  versatility  of administration recommender frameworks over existing methodologies.Key words: Recommender System, Preference, Keyword, Big Data, Map Reduce, Hadoop, Hotels.
 
Publisher Academic Journal of Accounting and Economic Researches ISSN 2333-0783
 
Contributor —
 
Date 2015-04-27
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format —
 
Identifier http://worldofresearches.com/ojs-2.4.4-1/index.php/ajaer/article/view/22
 
Source Academic Journal of Accounting and Economic Researches ISSN 2333-0783; Vol 4, No 2 (2015): April 2015
2333-0783
2375-7493
 
Language eng
 
Relation http://worldofresearches.com/ojs-2.4.4-1/index.php/ajaer/article/view/22/18
 
Rights Copyright (c) 2015 Academic Journal of Accounting and Economic Researches ISSN 2333-0783
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