Customized of Social Media Contents using Focused Topic Hierarchy Speaker: Jim-An Tsai Advisor: Jia-ling Koh Author: Xingwei Zhu1, Zhao-Yan Ming2y, Yu Hao1, Xiaoyan Zhu1, Tat-Seng Chua Date: 2015/1/8 Source: CIKM’14

Outline Introduction Problem Formulation Method Experiment Conclusion

Introduction

General Taxonomy vs Focused Hierarchy Challenges 1 2 3 General Taxonomy vs Focused Hierarchy General Clustering vs Customized Organization

Outline Introduction Problem Formulation Method Experiment Conclusion

User Information Needs Problem Formulation Social Media Corpus User Information Needs

User Information Needs Problem Formulation Social Media Corpus User Information Needs

Outline Introduction Problem Formulation Method Experiment Conclusion

Method Q1:How to discover the potentially useful topics for an information need? Sol:

Focused Topic Discovering

Topic Hierarchy Generation

Topic Hierarchy Generation If k = 5

Method Q2:How to obtain the optimal topic structure to organize the users’ desired information? Sol:

Topic Hierarchy Generation

Topic Hierarchy Construction Algorithm

Topic Hierarchy Construction Algorithm

Sol: Problem1

Sol: Problem2 Undirected Cycles: Final Result:

Method Q3:How to distinguish the representative contents for topics that directly meet the users; requirements? Sol:

Customized Corpus Organization Indicates the probability of the document’s content c given the topic v

Outline Introduction Problem Formulation Method Experiment Conclusion

Experiment

Focused Topic Discovering

Focused Topic Hierarchy Construction

Focused Topic Hierarchy Construction

Customized Corpus Organization

Outline Introduction Problem Formulation Method Experiment Conclusion

Conclusion We proposed a novel method for customized social media organization using focused topic hierarchies, in which the social media contents can be organized into different structures to meet with different users’ personal information needs. Future works: we will try to enhance the present framework with data from knowledge bases and social networks.

Thank for your listening