 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: May 2025
Volume 10 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 108
Article Submitted : 15207
Article Published : 6791
Total Authors : 18222
Total Reviewer : 664
Total Countries : 121
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Performance Comparison of a Parallel Recommender Algorithm across three Hadoop-based Frameworks |
| Authors Name: | Pallavi I Sutar , K Manasa , manikya k , Aishwarya J , Prof. Hemanth kumar N P |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_181279
|
| Published Paper Id: | IJRTI2006014 |
| Published In: | Volume 5 Issue 6, June-2020 |
| DOI: | |
| Abstract: | One of the challenges our society faces is the ever increasing amount of data. Among exist- ing platforms that address the system requirements, Hadoop is a framework widely used to store and analyze “big data”. On the human side, one of the aids to finding the things people really want is recommen- dation systems. This paper evaluates highly scalable parallel algorithms for recommendation systems with application to very large data sets. A particular goal is to evaluate an open source Java message passing library for parallel computing called MPJ Express, which has been integrated with Hadoop. As a demon- stration we use MPJ Express to implement collabora- tive filtering on various data sets using the algorithm ALSWR (Alternating-Least-Squares with Weighted- λ-Regularization). We benchmark the performance and demonstrate parallel speedup on Movielens and Yahoo Music data sets, comparing our results with two other frameworks: Mahout and Spark. Our results indicate that MPJ Express implementation of ALSWR has very competitive performance and scal- ability in comparison with the two other frameworks. |
| Keywords: | HPC, MPJ Express, Hadoop, MapReduce, YARN, Spark, Mahout |
| Cite Article: | "Performance Comparison of a Parallel Recommender Algorithm across three Hadoop-based Frameworks", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.5, Issue 6, page no.89 - 94, June-2020, Available :http://www.ijrti.org/papers/IJRTI2006014.pdf |
| Downloads: | 000204835 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2006014
Registration ID:181279
Published In: Volume 5 Issue 6, June-2020
DOI (Digital Object Identifier):
Page No: 89 - 94 Country: Bagalkot, KARNATAKA, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2006014 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2006014 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||