Machine Learning Approach for Targeting and Recommending a Product for Project Management

Machine Learning Approach for Targeting and Recommending a Product for Project Management

Conventionally, a market research and strategy for a product depends on the interviews and an explicit cluster/society to identify the customer’s needs. Customer-created information (CCI), such as call-center data, online reviews, and social media posts, provides an opportunity to recognize the cust...

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Main Authors: Hasmat Malik, Asyraf Afthanorhan, Noor Aina Amirah, Nuzhat Fatema
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Mathematics
Subjects:
machine learning (ML)
project management
data analysis
big data
neural network
Online Access:https://www.mdpi.com/2227-7390/9/16/1958
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spelling doaj-5f118f2744b143adb83617266652f93e2021-08-26T14:02:24ZengMDPI AGMathematics2227-73902021-08-0191958195810.3390/math9161958Machine Learning Approach for Targeting and Recommending a Product for Project ManagementHasmat Malik0Asyraf Afthanorhan1Noor Aina Amirah2Nuzhat Fatema3BEARS, NUS Campus, University Town, Singapore 138602, SingaporeFaculty of Business and Management, Universiti Sultan Zainal Abidin (UniSZA), Gong Badak, Kuala Terengganu 21300, Terengganu, MalaysiaFaculty of Business and Management, Universiti Sultan Zainal Abidin (UniSZA), Gong Badak, Kuala Terengganu 21300, Terengganu, MalaysiaFaculty of Business and Management, Universiti Sultan Zainal Abidin (UniSZA), Gong Badak, Kuala Terengganu 21300, Terengganu, MalaysiaConventionally, a market research and strategy for a product depends on the interviews and an explicit cluster/society to identify the customer’s needs. Customer-created information (CCI), such as call-center data, online reviews, and social media posts, provides an opportunity to recognize the customer’s needs more efficiently. Moreover, developed conventional approaches are not compatible with large CCI datasets because most of the CCI-contents are repetitive and uninformative. In this paper, a machine learning approach for identifying the customer needs from the CCI dataset is proposed and its performance is evaluated for targeting and recommending a new product for project management. After the identification of the needs of the customer, information can be used to develop a market strategy, new product launching, brand positioning and much more long/short term planning.https://www.mdpi.com/2227-7390/9/16/1958machine learning (ML)project managementdata analysisbig dataneural network
collection DOAJ
language English
format Article
sources DOAJ
author Hasmat Malik
Asyraf Afthanorhan
Noor Aina Amirah
Nuzhat Fatema
spellingShingle Hasmat Malik
Asyraf Afthanorhan
Noor Aina Amirah
Nuzhat Fatema
Machine Learning Approach for Targeting and Recommending a Product for Project Management
Mathematics
machine learning (ML)
project management
data analysis
big data
neural network
author_facet Hasmat Malik
Asyraf Afthanorhan
Noor Aina Amirah
Nuzhat Fatema
author_sort Hasmat Malik
title Machine Learning Approach for Targeting and Recommending a Product for Project Management
title_short Machine Learning Approach for Targeting and Recommending a Product for Project Management
title_full Machine Learning Approach for Targeting and Recommending a Product for Project Management
title_fullStr Machine Learning Approach for Targeting and Recommending a Product for Project Management
title_full_unstemmed Machine Learning Approach for Targeting and Recommending a Product for Project Management
title_sort machine learning approach for targeting and recommending a product for project management
publisher MDPI AG
series Mathematics
issn 2227-7390
publishDate 2021-08-01
description Conventionally, a market research and strategy for a product depends on the interviews and an explicit cluster/society to identify the customer’s needs. Customer-created information (CCI), such as call-center data, online reviews, and social media posts, provides an opportunity to recognize the customer’s needs more efficiently. Moreover, developed conventional approaches are not compatible with large CCI datasets because most of the CCI-contents are repetitive and uninformative. In this paper, a machine learning approach for identifying the customer needs from the CCI dataset is proposed and its performance is evaluated for targeting and recommending a new product for project management. After the identification of the needs of the customer, information can be used to develop a market strategy, new product launching, brand positioning and much more long/short term planning.
topic machine learning (ML)
project management
data analysis
big data
neural network
url https://www.mdpi.com/2227-7390/9/16/1958
work_keys_str_mv AT hasmatmalik machinelearningapproachfortargetingandrecommendingaproductforprojectmanagement
AT asyrafafthanorhan machinelearningapproachfortargetingandrecommendingaproductforprojectmanagement
AT noorainaamirah machinelearningapproachfortargetingandrecommendingaproductforprojectmanagement
AT nuzhatfatema machinelearningapproachfortargetingandrecommendingaproductforprojectmanagement
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