Ning Chen1, Steven C.H. Hoi2, Shaohua Li3, Xiaokui Xiao3

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Presentation transcript:

Ning Chen1, Steven C.H. Hoi2, Shaohua Li3, Xiaokui Xiao3 Mobile App Tagging Ning Chen1, Steven C.H. Hoi2, Shaohua Li3, Xiaokui Xiao3 1. Alibaba Group 2. Singapore Management University 3. Nanyang Technological University

1 2 3 4 5 Agenda Background & Motivation Problem Formulation App Tagging Framework Empirical Evaluation Conclusion & Future work 1 2 3 4 5

Background/Motivation App market data is (i) large in volume; (ii) changing rapidly; and (iii) potentially useful for various stakeholders in the mobile app ecosystem. App tagging can benefit different stakeholders of mobile app ecosystems. App Categorization App Browsing ……… App Search The huge potential value of app tags motivates this study.

1 2 3 4 5 Agenda Background & Motivation Problem Formulation App Tagging Framework Empirical Evaluation Conclusion & Future work 1 2 3 4 5

Problem Formulation Definition (App Tag). An app tag is a succinct and concise keyword or phrase that describes the core functionality, main content or key concept of the app.

1 2 3 4 5 Agenda Background & Motivation Problem Formulation App Tagging Framework Empirical Evaluation Conclusion & Future work 1 2 3 4 5

Overview of App Tagging Framework Key Point 1: Learn the optimal combination of kernel functions. Key Point 2: App Tag Extraction approach

1 2 3 4 5 Agenda Background & Motivation Problem Formulation App Tagging Framework Empirical Evaluation Conclusion & Future work 1 2 3 4 5

Evaluation Results (1) We evaluated the impact of app similarity functions in the search-based app tagging procedure. Relying on an app's own metadata is not effective for app tagging; Better learned kernel functions lead to better tagging performance.

Evaluation Results (2) We compared three different schemes for extracting app tags. POS filtering is helpful in improving the tag extraction performance; Compared with TF-IDF, ATE improves the average precision scores by around 10%.

1 2 3 4 5 Agenda Background & Motivation Problem Formulation App Tagging Framework Empirical Evaluation Conclusion & Future work 1 2 3 4 5

Conclusion/Future Work 1. We presented a new auto mobile app tagging framework ; 2. We planed to explore it's potential applications for mobile app search, browsing, categorization and beyond.

Contact: hzzjucn@gmail.com Thank you ! Contact: hzzjucn@gmail.com