NDLI: Popularity Prediction of Social Media Post Using Tensor Factorization

Please wait, while we are loading the content...

Computer Modeling in Engineering & Sciences (CMES)

Computer Systems Science and Engineering (CSSE)

Computers, Materials & Continua (CMC)

Congenital Heart Disease (CHD)

Digital Engineering and Digital Twin (DEDT)

Energy Engineering (ENERGY)

Fluid Dynamics & Materials Processing (FDMP)

Frontiers in Heat and Mass Transfer (FHMT)

Intelligent Automation & Soft Computing (IASC)

Year: 2024 Volume: 39

Year: 2023 Volume: 38

Year: 2023 Volume: 37

Year: 2023 Volume: 36

Memory-Type Control Charts Through the Lens of Cost Parameters

Early Detection of Autism in Children Using Transfer Learning

Hybrid Multi-Object Optimization Method for Tapping Center Machines

Combined Linear Multi-Model for Reliable Route Recommender in Next Generation Network

A Novel Method for Heat Exchange Evaluation in EV

ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering

Robust Frequency Estimation Under Additive Symmetric α-Stable Gaussian Mixture Noise

Grey Wolf Optimizer Based Deep Learning for Pancreatic Nodule Detection

Mobility Aware Zone-Based Routing in Vehicle Ad hoc Networks Using Hybrid Metaheuristic Algorithm

Multi-Level Deep Generative Adversarial Networks for Brain Tumor Classification on Magnetic Resonance Images

Resilient Service Authentication for Smart City Application Using IoT

Transformer Internal and Inrush Current Fault Detection Using Machine Learning

Automatic Detection of Outliers in Multi-Channel EMG Signals Using MFCC and SVM

Weighted PageRank Algorithm Search Engine Ranking Model for Web Pages

Reinforcement Learning-Based Handover Scheme with Neighbor Beacon Frame Transmission

Popularity Prediction of Social Media Post Using Tensor Factorization

Failure Prediction for Scientific Workflows Using Nature-Inspired Machine Learning Approach

Performance Analysis of a Chunk-Based Speech Emotion Recognition Model Using RNN

Optimal Energy Forecasting Using Hybrid Recurrent Neural Networks

Region Centric GL Feature Approximation Based Secure Routing for Improved QoS in MANET

A New Modified EWMA Control Chart for Monitoring Processes Involving Autocorrelated Data

Machine Learning-Based Models for Magnetic Resonance Imaging (MRI)-Based Brain Tumor Classification

Multimodal Machine Learning Based Crop Recommendation and Yield Prediction Model

Machine Learning-Based Threatened Species Translocation Under Climate Vulnerability

A Machine Learning-Based Technique with Intelligent WordNet Lemmatize for Twitter Sentiment Analysis

Night Vision Object Tracking System Using Correlation Aware LSTM-Based Modified Yolo Algorithm

Smart Lung Tumor Prediction Using Dual Graph Convolutional Neural Network

Neuro-Based Higher Order Sliding Mode Control for Perturbed Nonlinear Systems

IC Pattern Based Power Factor Maximization Model for Improved Power Stabilization

Effective Diagnosis of Lung Cancer via Various Data-Mining Techniques

An Integrated Multilayered Framework for IoT Security Intrusion Decisions

Multiobjective Economic/Environmental Dispatch Using Harris Hawks Optimization Algorithm

Malicious Activities Prediction Over Online Social Networking Using Ensemble Model

Automatic Image Annotation Using Adaptive Convolutional Deep Learning Model

Stage-Wise Categorization and Prediction of Diabetic Retinopathy Using Ensemble Learning and 2D-CNN

A Boosted Tree-Based Predictive Model for Business Analytics

An Intelligent Cardiovascular Diseases Prediction System Focused on Privacy

A Construction of Object Detection Model for Acute Myeloid Leukemia

Novel Path Counting-Based Method for Fractal Dimension Estimation of the Ultra-Dense Networks

Estimation of Higher Heating Value for MSW Using DSVM and BSOA

Customer Segment Prediction on Retail Transactional Data Using K-Means and Markov Model

An Ontology-Based Question Answering System for University Admissions Advising

Modelling Mobile-X Architecture for Offloading in Mobile Edge Computing

Millimeter Wave Massive MIMO Heterogeneous Networks Using Fuzzy-Based Deep Convolutional Neural Network (FDCNN)

Generating of Test Data by Harmony Search Against Genetic Algorithms

Up-Sampled Cross-Correlation Based Object Tracking & Vibration Measurement in Agriculture Tractor System

Improved Clamped Diode Based Z-Source Network for Three Phase Induction Motor

Stacking Ensemble Learning-Based Convolutional Gated Recurrent Neural Network for Diabetes Miletus

Proposed Privacy Preservation Technique for Color Medical Images

Enhanced Detection of Cerebral Atherosclerosis Using Hybrid Algorithm of Image Segmentation

Year: 2023 Volume: 35

Year: 2022 Volume: 34

Year: 2022 Volume: 33

Year: 2022 Volume: 32

Year: 2022 Volume: 31

Year: 2021 Volume: 30

Year: 2021 Volume: 29

Year: 2021 Volume: 28

Year: 2021 Volume: 27

Year: 2020 Volume: 26

Year: 2019 Volume: 25

Year: 2018 Volume: 24

International Journal of Mental Health Promotion (IJMHP)

Journal of Blockchain and Intelligent Computing (JBIC)

Journal of Cyber Security (JCS)

Journal of Information Hiding and Privacy Protection (JIHPP)

Journal of Intelligent Medicine and Healthcare (JIMH)

Journal of New Media (JNM)

Journal of Polymer Materials (JPM)

Journal of Quantum Computing (JQC)

Journal of Renewable Materials (JRM)

Journal on Artificial Intelligence (JAI)

Journal on Big Data (JBD)

Journal on Internet of Things (JIOT)

Oncology Research (OR)

Phyton-International Journal of Experimental Botany (PHYTON)

Structural Durability & Health Monitoring (SDHM)

Popularity Prediction of Social Media Post Using Tensor Factorization

Content Provider	Tech Science Press
Author	Choudhary, Amit Sheoran, Dinesh Kumari, Ashish Bhatnagar, Vishal Ahlawat, Savita Bohra, Navdeep
Abstract	The traditional method of doing business has been disrupted by social media. In order to develop the enterprise, it is essential to forecast the level of interaction that a new post would receive from social media users. It is possible for the user’s interest in any one social media post to be impacted by external factors or to dwindle as a result of changes in his behaviour. The popularity detection strategies that are user-based or population-based are unable to keep up with these shifts, which leads to inaccurate forecasts. This work makes a prediction about how popular the post will be and addresses any anomalies caused by factors outside of the study. A novel improved PARAFAC (A-PARAFAC) method that is tensor factorization-based has been presented in order to cope with the user criteria that will be used in the future to rate any project. We consolidated the information on the historically popular content, and we accelerated the computation by choosing the top contents that were most like each other. The tensor is factorised with the application of the Adam optimization. It has been modified such that the bias is now included in the gradient function of A-PARAFAC, and the value of the bias is updated after each iteration. The prediction accuracy is improved by 32.25% with this strategy compared to other state of the art methods.
Related Links	https://www.techscience.com/iasc/v36n1/49980
Starting Page	205
Ending Page	221
ISSN	10798587
DOI	10.32604/iasc.2023.030708
Issue Number	1
Journal	Intelligent Automation & Soft Computing (IASC)
Volume Number	36
e-ISSN	2326005X
Language	English
Publisher Date	2022-09-29
Access Restriction	Open
Subject Keyword	Tensor decomposition group level popularity graphical clustering PARAFAC popularity prediction
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in