A hunger-based scheduling strategy for distributed crawler-Reference-Cited by-同舟云学术

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A hunger-based scheduling strategy for distributed crawler

Published:2023-07 Issue: Volume:222 Page:119798
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wang Xi,Chen Zhichao,Kong Mingming^ORCID,Li Bo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference25 articles.

1. Whittle index policy for crawling ephemeral content;Avrachenkov;IEEE Transactions on Control of Network Systems,2016

2. Avrachenkov, K., Patil, K., & Thoppe, G. (2020). Change rate estimation and optimal freshness in web page crawling. In Proceedings of the 13th EAI International Conference on Performance Evaluation Methodologies and Tools (pp. 3-10).

3. Avrachenkov, K., Borkar, V., & Patil, K. (2021). Deep Reinforcement Learning for Web Crawling. In 2021 Seventh Indian Control Conference (ICC) (pp. 201-206). IEEE.

4. Tractable near-optimal policies for crawling;Azar;Proceedings of the National Academy of Sciences,2018

5. Bošnjak, M., Oliveira, E., Martins, J., Mendes Rodrigues, E., & Sarmento, L. (2012). Twitterecho: a distributed focused crawler to support open research with twitter data. In Proceedings of the 21st international conference on World Wide Web (pp. 1233-1240).

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Study on Design, Development and Deployment of Web Crawler Algorithms and Their Metrics;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

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