| 저자 | Bo-Keong Kim, Seunghoon Lee, Jaekwang Kim, and Jee-Hyong Lee |
|---|---|
| 학회명 | International Symposium on Advanced Intelligent Systems |
| 학회명 (약자) | ISIS 2009 |
| pp. | 183-186 |
| 학회시작일 | 2009-08-17 |
| 학회종료일 | 2009-08-19 |
| 비고 |
Group mining is to identifying meaningful groups from users. Most of the existing group mining methods create groups based on physical information like spatio-temporal information. Other approaches are based on social relation such as user interaction or common preferences. However, methods using only physical information create groups which are simply comprised of adjacent people to a certain user. In addition, once methods using only social information create a group, the group is fixed by a certain social factor. In this paper, we propose a grouping method conflating physical information and social information collected from user’s mobile device to solve this problem. The proposed method is appropriate to create a group for moving users. This method reflects mobility of users and sensitivity of social situation at the same time.
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2024
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2023
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BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation
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학회명: Proceedings of the Association for Computational Linguistics (Findings of ACL 2023)
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CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation
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저자: 최윤석, 이지형
학회명: Proceedings of the Association for Computational Linguistics (Findings of ACL 2023)
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2022
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2021
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