AMSS: A Novel Take on Web Page Ranking-Reference-Cited by-同舟云学术

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AMSS: A Novel Take on Web Page Ranking

Published:2022-08-04 Issue: Volume: Page:331-340
ISSN:2524-7565
Container-title:Proceedings of the Third International Conference on Information Management and Machine Intelligence
language:
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Author:

Matta Yash,Malhotra Dheeraj,Verma Neha

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2065-3_37

Reference12 articles.

1. Malhotra D, Verma N (2013) An ingenious pattern matching approach to lessen web page rank. Int J Comput Appl 65(24)

2. Verma N, Malhotra D, Malhotra M, Singh J (2015) E-commerce website ranking using semantic web mining and neural computing. Pro Comput Sci 45:42–51

3. Malhotra D, Rishi OP (2016) IAMSS-E: an intelligent approach to the design of an adaptive metasearch system for E-commerce website ranking. In: Proceedings of the international conference on advances in information communication technology & computing, pp 1–6

4. Khanchana R, Punithavalli M (2013) A web usage mining approach based on new technique in web path recommendation systems. Int J Eng Res Technol 2(1):1–6

5. Liu B, Chen-Chuan-Chang K (2004) Special issue on web content mining. ACM SIGKDD explornewslett 6(2):1-4

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 Comprehensive Review of Web Page Ranking Systems;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

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