Affiliation:
1. Uttarakhand Technical University, Dehradun, India
2. National Institute of Technology, Hamirpur, India
Abstract
Web-based information retrieval systems called search engines have made things easy for information seekers, but still do not provide guarantees about the relevance of the information provided to the users. Information retrieval systems provide the information to the user based on certain retrieval criteria. Due to the large size of the WWW, it is very common that a large number of documents get identified related to a particular domain. Therefore, to help users towards finding the best matching documents, a ranking mechanism is employed by the search engine. In this article, an improved architecture for an information retrieval system is proposed. The proposed system makes a query log for each user query and stores the results retrieved to the user for that query. The system also provides relevant results by analyzing the content of the pages retrieved for the user query.
Reference34 articles.
1. Web page ranking using link attributes
2. Cohn, D., & Chang, H. (2000). Learning to probabilistically identify authoritative documents. In Proceedings of the 17th International Conference on Machine Learning (ICML ’00) (pp. 167–174). Academic Press.
3. Page Ranking Algorithms: A Survey
4. Fujimura, K., Inoue, T., & Sugisaki, M. (2005). The EigenRumor Algorithm for Ranking Blogs. In Proceedings of the Second Annual Workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics (pp. 59–74). Academic Press.
5. Comparative study of various Page Ranking Algorithms in Web Content Mining (WCM).;N.Govada;International Journal of Advanced Research,2014
Cited by
3 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 Novel Architecture for Search Engine using Domain Based Web Log Data;The International Arab Journal of Information Technology;2023
2. Web Page Ranking Using Web Mining Techniques: A Comprehensive Survey;Mobile Information Systems;2022-05-31
3. Improve the Response Time with Content Mining based Web Page Ranking;2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES);2022-05-20