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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (7): 101-111    DOI: 10.11925/infotech.2096-3467.2017.1160
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Multidimensional Information Acceptance Contexts of Mobile Library
Bi Datian1, Wang Fu2()
1School of Management, Jilin University, Changchun 130022, China
2Inner Mongolia University of Technology Library, Hohhot 010051, China
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Abstract  

[Objective] This paper helps the library’s mobile app provide contents based on the users’ actual locations and their expectations, which are the key issues facing mobile service innovation. [Methods] First, we proposed the concept of information acceptance entropy based on the theory of information entropy and context entropy. Then, we constructed a generalized component distribution probability model for the information acceptance entropy with the help of entropy energy distribution theory. Finally, we examined our model with the academic libraries in China’s Liaoning, Jilin and Henan provinces. [Results] We wrote new algorithms with Matlab and used the Likert scale to evaluate the users’ perception and experience. The new model successfully calculated and simulated the information acceptance entropy of different scenes. We found that switching the scenes in time and increasing relevant contents will improve user’s experience. [Limitations] The sample size needs to be expanded to improve the accuracy of simulation. [Conclusions] The proposed model could compare and predict the multidimensional information acceptance entropy of different locations.

Key wordsMobile Scene      Contextual Sequence      Context Entropy      Context Adaptation      Acceptance Simulation     
Received: 20 November 2017      Published: 15 August 2018
ZTFLH:  350.7  

Cite this article:

Bi Datian,Wang Fu. Multidimensional Information Acceptance Contexts of Mobile Library. Data Analysis and Knowledge Discovery, 2018, 2(7): 101-111.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.1160     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2018/V2/I7/101

情境因子类型 情境因子实例 情境因子状态指标
场景因子(H) 搜索 餐厅、需求、搜索
情境因子(A) 情境资源 资源、技术、服务
适配因子(E) 个性标准适配 位置、场景
因子 因子名称 因子状态 因子属性值
场景
因子
当前场景(ir) 中午就餐 用时约30分
当前需求(rt) 短消息新闻 需要1-2短新闻/消息
情境
因子
资源准确(zq) 休闲新闻 1-3个休闲新闻
移动定位(dw) 个性推送 感知位置且精准推送
适配
因子
位置准确(zq) 定位准确 场景动态推送
场景个性(gx) 场景关联 关联用场景特征
阶段
因子
此前场景 此时场景 此后场景
状态 定量值 状态 定量值 状态 定量值
h1 教室 12 餐厅 12.5 宿舍 13
h2 上课 0 新闻 3 午休 0
阶段
因子
此前场景 此时场景 此后场景
状态 定量值 状态 定量值 状态 定量值
a1 无需 0 短娱乐 3 无需 0
a2 上课 10 定位 10 午休 10
阶段
因子
此前场景 此时场景 此后场景
状态 定量值 状态 定量值 状态 定量值
e1 无需 10 定位精准 10 无需 10
场景切换 正常场景切换 提前切换增加情境量 提前切换不增情境量
组分分布概率值 多维信息接受熵值 组分分布概率值 多维信息接受熵值 组分分布概率值 多维信息接受熵值
此前场景 0.08 -0.18416 0.07 -0.16114 0.08 -0.18416
此时场景 0.68 -0.58752 0.72 -0.69192 0.68 -0.58752
此后场景 0.24 -0.08664361 0.21 -0.07581 0.24 -0.08664361
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