HistoryPaper: A Magazine-Style Layout of Representative Web Pages Extracted From Browsing History
Pages 61 - 68
Abstract
Web browsing history of people who use internet everyday represents processes they learned. Visualization of summarized browsing history can contribute to learn what we did. This paper proposes HistoryPaper, a system to extract representative Web pages from browsing history of users, and arranges them like a newspaper. The system helps users to remember what they did in a particular day. HistoryPaper firstly clusters browsed Web pages based on their contents. Then, it calculates the priority of Web pages from search terms and rality of accessed Web pages, and selects the representative page of each cluster. HistoryPaper arranges the representative pages by utilizing a layout algorithm following the magazine style applied in many news sites. This paper presents the numeric evaluation of the layout results to demonstrate the reasonableness of the algorithm.
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Information & Contributors
Information
Published In
August 2015
185 pages
ISBN:9781450334822
DOI:10.1145/2801040
- General Chair:
- Takayuki Itoh,
- Program Chairs:
- Paolo Bottoni,
- Shigeo Takahashi
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 August 2015
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- Research-article
- Research
- Refereed limited
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VINCI '15
VINCI '15: The 8th International Symposium on Visual Information Communication and Interaction
August 24 - 26, 2015
AA, Tokyo, Japan
Acceptance Rates
VINCI '15 Paper Acceptance Rate 12 of 32 submissions, 38%;
Overall Acceptance Rate 71 of 193 submissions, 37%
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