Base-package recommendation framework based on consumer behaviours in IPTV platform

Base-package recommendation framework based on consumer behaviours in IPTV platform

Internet Protocol TeleVision (IPTV) provides many services such as live television streaming, time-shifted media, and Video On Demand (VOD). However, many customers do not engage properly with their subscribed packages due to a lack of knowledge and poor guidance. Many customers fail to identify the...

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Bibliographic Details
Main Authors: SHANMUGALINGAM, Kuruparan, RANGANAYANKE, Ruwinda, GUNAWARDHAHA, Chanka, NAVARATHNA, Rajitha
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
Customer scoring
Feature engineering
Machine learning
Recommendation system
Clustering
Collaborative filtering
Content filtering
Customer Churn
Numerical Analysis and Scientific Computing
Television
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/5917
https://ink.library.smu.edu.sg/context/sis_research/article/6920/viewcontent/Base_Package_IPTV_2020.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/5917
https://ink.library.smu.edu.sg/context/sis_research/article/6920/viewcontent/Base_Package_IPTV_2020.pdf

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