Quality-biased ranking of web documents

Author:

Bendersky Michael,Croft W. Bruce,Diao Yanlei

Publisher

ACM Press

Cited by 54 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 set of novel HTML document quality features for Web information retrieval: Including applications to learning to rank for information retrieval;Expert Systems with Applications;2024-07

2. Towards Automated Safety Vetting of Smart Contracts in Decentralized Applications;Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security;2022-11-07

3. Competitive Search;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

4. Extraction of Effective Textual and Semantic Features in Learning to Rank for Web Document Retrieval;Iranian Journal of Information Processing and Management;2021-07-01

5. Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study;Proceedings of the 14th ACM International Conference on Web Search and Data Mining;2021-03-08

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