書誌事項
- タイトル別名
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- Webpage Optimization Problem and Its Optimization Method
抄録
Webpage optimization is an experimental method to make continuous improvements on websites based on users' behavior. This method can be implemented easily but has a drawback that small websites take long time to gather enough data to evaluate the ideas. Although many optimization methods are proposed and conducted so far, there's no mathematical model of this problem. We propose Webpage Optimization Problem and organize existing webpage optimization methods. Combining these methods, we also propose a new webpage optimization method that performs well no matter how many people get to the website. We evaluate the proposal method by simulation experiments and introducing the optimization program to both large and small websites. The results show that our proposal method outperforms existing methods at any size of websites. Webpage Optimization Problem is a framework to create new webpage optimization methods.
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 29 (5), 460-468, 2014
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390282680085629824
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- NII論文ID
- 130004677737
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- BIBCODE
- 2014TJSAI..29..460I
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- ISSN
- 13468030
- 13460714
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可