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| Study of Online Healthy Community User Profile Based on Concept Lattice |
| Zhang Haitao1,2, Cui Yang1, Wang Dan1, Song Tuo1 |
1. The Management College of Jilin University, Changchun 130022;
2. The Information Resource Research Center of Jilin University, Changchun 130022 |
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Abstract In this work, the user profiles of online health community users were constructed based on concept lattice to reveal the multidimensional features and behavioral rules of different types of user groups in different contexts. Thus, providing the basis for optimizing community services. Python was used to obtain user data of online health community diabetes circle. Further, an online healthy community user profile concept model was constructed taking three aspects into account: user requirements, user roles, and user behavior. ConExp1.3 tools were used to build user segmentation tag concept lattices, and the user groups were divided into three categories using Hasse diagrams to construct the community group user profiles. Mining association rules were used to identify the behavior of the group users in different situations and obtain a complete picture of the user profiles. Clustering using concept lattices can rank the attributes of each group in a hierarchical manner, thereby making it easy to mine the associations between user attributes. This method has distinct advantages in constructing comprehensive and accurate user group profiles. Hence, serving the community through understanding user groups in depth and ensuring accurate services.
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Received: 11 May 2018
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