ISBN:
9781627059862
Language:
English
Pages:
1 Online-Ressource (120 p)
Series Statement:
Synthesis Lectures on Information Concepts, Retrieval, and Services
Parallel Title:
Print version Nie, Liqiang Learning from Multiple Social Networks
DDC:
302.231
Keywords:
Online social networks--Research
;
Online social networks ; Research
;
Internet users ; Research
;
Interest (Psychology) ; Research
;
Electronic books
;
Electronic books
Abstract:
Acknowledgments -- Introduction -- Background -- Motivation -- Challenges -- Our Solutions and Applications -- Outline of this Book -- Data Gathering and Completion -- User Accounts Alignment -- Missing Data Problems -- Matrix Factorization for Data Completion -- Multiple Social Networks Data Completion -- Summary -- Multi-source Mono-task Learning -- Application: Volunteerism Tendency Prediction -- Related Work -- Volunteerism and Personality Analysis -- Multi-view Learning with Missing Data -- Multiple Social Network Learning -- Notation -- Problem Formulations -- Optimization
Abstract:
Experimentation -- Experimental Settings -- Feature Extraction -- Model Comparison -- Data Completion Comparison -- Feature Comparison -- Source Comparison -- Size Varying of Positive Samples -- Complexity Discussion -- Summary -- Mono-source Multi-task Learning -- Application: User Interest Inference from Mono-source -- Related Work -- Clustered Multi-task Learning -- User Interest Mining -- Efficient Clustered Multi-task Learning -- Notation -- Problem Formulation -- Grouping Structure Learning -- Efficient Clustered Multi-task Learning -- Experimentation -- Experimental Settings
Abstract:
Feature Extraction -- Evaluation Metric -- Parameter Tuning -- Model Comparison -- Necessity of Structure Learning -- Summary -- Multi-source Multi-task Learning -- Application: User Interest Inference from Multi-source -- Related Work -- Multi-source Multi-task Learning -- Notation -- Problem Formulations -- Optimization -- Construction of Interest Tree Structure -- Experiments -- Experimental Settings -- Model Comparison -- Source Comparison -- Complexity Discussion -- Summary -- Multi-source Multi-task Learning with Feature Selection -- Application: User Attribute Learning from Multimedia Data
Abstract:
Related Work -- Data Construction -- Data Crawling Strategy -- Ground Truth Construction -- Multi-source Multi-task Learning with Fused Lasso -- Optimization -- Experiments -- Experimental Settings -- Feature Extraction -- Overall Model Evaluation -- Component-wise Analysis -- Source Integration -- Parameter Tuning -- Computational Analysis -- Other Application -- Summary -- Research Frontiers -- Bibliography -- Authors' Biographies -- Blank Page
Note:
Description based upon print version of record
URL:
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