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Proxy-based Web Prefetching Exploiting Long Short-Term Memory

Published: 07 June 2023 Publication History

Abstract

We propose an intention-related long short-term memory (Ir-LSTM) model based on deep learning to realize web prediction. This model draws on an LSTM model and skip-gram embedding method, and we expand the input features with user information. To maximize its potential, we propose a real-time dynamic allocation module that detects traffic bursts in real time and ensures better utilization of server resources. Experiments demonstrated that Ir-LSTM can improve the hit ratio by approximately 27% rather than hidden Markov model (HMM) and pure LSTM.

References

[1]
S. Zhong, J. Ghosh, A unified framework for model-based clustering, Machine Learning Research 4 (2003) 1001--1037.
[2]
A. Gellert, A. Florea, Web page prediction enhanced with confidence mechanism, Journal of Web Engineering 13 (2014) 507--524.
[3]
Y. Z. Guo, K. Ramamohanarao, L. A. F. Park, Web page prediction based on conditional random fields, in: 18th European Conference on Artificial Intelligence, 2008, pp 251--255.

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  • (2024)Predictive Prefetching in Client–Server Systems: A Navigational Behavior Modeling ApproachInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819402450038434:11(1807-1830)Online publication date: 30-Aug-2024

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  1. Proxy-based Web Prefetching Exploiting Long Short-Term Memory

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    cover image ACM Conferences
    SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
    March 2023
    1932 pages
    ISBN:9781450395175
    DOI:10.1145/3555776
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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    New York, NY, United States

    Publication History

    Published: 07 June 2023

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    Author Tags

    1. web prefetching
    2. deep learning
    3. LSTM

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    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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    March 31 - April 4, 2025
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    • (2024)Predictive Prefetching in Client–Server Systems: A Navigational Behavior Modeling ApproachInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819402450038434:11(1807-1830)Online publication date: 30-Aug-2024

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