Improving the Accuracy of the Video Popularity Prediction Models Through User Grouping and Video Popularity Classification

ACM Transactions on the Web - United States
doi 10.1145/3372499
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Association for Computing Machinery (ACM)

Related search

Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems

IEEE/ACM Transactions on Networking
Electronic EngineeringComputer NetworksCommunicationsComputer Science ApplicationsElectricalSoftware
2009English

Inter-Domain Popularity-Aware Video Caching in Future Internet Architectures

2015English

Science Communication on YouTube: Factors That Affect Channel and Video Popularity

Public Understanding of Science
DevelopmentalCommunicationArtsEducational PsychologyHumanities
2015English

Improving Recommendation via Inference of User Popularity Preference in Sparse Data Environment

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2018English

Strategies for Growing User Popularity Through Retweet: An Empirical Study

Advances in Multimedia
Computer Science
2017English

A Novel Caching Policy With Content Popularity Prediction and User Preference Learning in Fog-Ran

2017English

Table 10: Video-Based Age Prediction Accuracy, %.

English

Classroom Popularity Hierarchy Predicts Prosocial and Aggressive Popularity Norms Across the School Year

Child Development
DevelopmentalChild HealthEducational PsychologyPerinatologySocial WorkPediatricsEducation
2019English

Improving the Accuracy of Face Detection for Damaged Video and Distant Targets

2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy