User Intent Classification for Multimedia Information Systems

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User Intent Classification for Multimedia Information Systems by Mind Map: User Intent Classification for Multimedia Information Systems

1. Introduction

1.1. Research questions

1.2. Differentiation (in & out)

1.3. Behavior vs. Intent

1.4. Thesis overview

2. Related Work

2.1. Search & Retrieval

2.2. Library Science

2.3. Picture Organization

2.4. Annotation (Tags, Keywords)

3. Summary, Conclusion and Future work

4. Exploratory Studies for User Intentions // I-KNOW Paper

4.1. Aim

4.2. Approach/Study settings

4.3. Mission/Tasks/ToDo

4.4. Results, Implications & Evaluation

5. Qualitative Taxonomy Analysis

5.1. Aim

5.2. Approach/Settings

5.3. Transcriptions

5.4. Results, Implications & Evaluation

6. A Taxonomy for User Intentions

7. User Intent Classification

7.1. Methodology

7.1.1. Bayes

7.1.2. Support Vector Machine

7.2. Implementation

7.3. Evalutation

7.4. Example field of application: View Adaptation // ACM MM Paper