A Framework to Collect and Visualize User's Browser History for Better User Experience and Personalized Recommendations

被引:3
作者
Kandala, Harish [1 ]
Tripathy, B. K. [1 ]
Kumar, K. Manoj [2 ]
机构
[1] VIT Univ, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, India
[2] SVCE, Dept Comp Sci & Engn, Tirupati 517507, Andhra Pradesh, India
来源
INFORMATION AND COMMUNICATION TECHNOLOGY FOR INTELLIGENT SYSTEMS (ICTIS 2017) - VOL 1 | 2018年 / 83卷
关键词
Browser history; User experience; Data extraction; Interactive visualization; Personalized recommendations;
D O I
10.1007/978-3-319-63673-3_26
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In all the modern browsers, maintaining user's web history is one of the primary tasks. Browser history will help to summarize the activity of the user during a certain period. However, current browser history is not so efficient to visualize in a user-friendly manner and also doesn't provide enough information for personalized recommendations. One of the key reason is that browsers never maintain any inter-connection between history items. Overall history is maintained in a linear fashion with no information about how the user reached to a particular state. Another issue is that it is not possible to calculate how much time the user spent on any particular website using current history system. This paper provides a conceptual idea of solving these issues by providing a framework that solves this issue by introducing linked data and also describes how this can benefit in improving user experience and quality of recommendations.
引用
收藏
页码:218 / 224
页数:7
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