مشاهده مشخصات مقاله
Dynamic and memory efficient web page prediction model using LZ78 and LZW algorithms
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نویسنده (ها) |
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Alborz moghaddam
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Ehsanollah kabir
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
Web access prediction has attracted significant
attention in recent years. Web prefetching and some
personalization systems use prediction algorithms. Most
current applications that predict the next user web page
have an offline component that does the data preparation
task and an online section that provides personalized
content to the users based on their current navigational
activities. In this paper we present an online prediction
model that does not have an offline component and fit in the
memory with good prediction accuracy. Our algorithm is
based on LZ78 and LZW algorithms that are adapted for
modeling the user navigation in web. Our model decreases
computational complexities which is a serious problem in
developing online prediction systems. A performance
evaluation is presented using real web logs. This evaluation
shows that our model needs much less memory than PPM
family of algorithms with good prediction accuracy. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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