Open Access
Issue
ITM Web Conf.
Volume 54, 2023
2nd International Conference on Advances in Computing, Communication and Security (I3CS-2023)
Article Number 01012
Number of page(s) 8
Section Computing
DOI https://doi.org/10.1051/itmconf/20235401012
Published online 04 July 2023
  1. Sharma, Vijay Kumar, and Namita Mittal. “Cross lingual information retrieval (CLIR): Review of tools, challenges and translation approaches.” Information systems design and intelligent applications (2016): 699–708. [CrossRef] [Google Scholar]
  2. Zhou, Dong, et al. “Query expansion for personalized cross-language information retrieval”, Semantic and Social Media Adaptation and Personalization (SMAP), 2015 10th International Workshop on. IEEE, 2015. [Google Scholar]
  3. A. Seetha, S. Das and M. Kumar, “Evaluation of the English-Hindi Cross Language Information Retrieval System Based on Dictionary Based Query Translation Method,” 10th International Conference on Information Technology (ICIT 2007), 2007, pp. 56–61, doi: 10.1109/ICIT.2007.53. [CrossRef] [Google Scholar]
  4. Sun, Renxu, Chai-Huat Ong, and Tat-Seng Chua. “Mining dependency relations for query expansion in passage retrieval.” Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval. 2006. [Google Scholar]
  5. Karadzhov, Georgi, Preslav Nakov, Lluis Marquez, Alberto Barron-Cedeno, and Ivan Koychev. “Fully automated fact checking using external sources.” arXiv preprint arXiv:1710.00341 (2017). [Google Scholar]
  6. M. Hearst and J. Pedersen. Reexamining the cluster hypothesis: scatter/gather on retrieval results. In Proceedings of the 19th ACM SIGIR, pages 76–84, 1996. [Google Scholar]
  7. O. Zamir and O. Etzioni. Grouper: a dynamic clustering interface to Web search results. Computer Networks-the International Journal of Computer and Telecommunications Networking, 31(11):1361–1374, 1999. [Google Scholar]
  8. Andrew Turpin, Yohannes Tsegay, David Hawking, and Hugh E. Williams. 2007. Fast Generation of Result Snippets in Web Search. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’07). ACM, New York, NY, USA, 127–134. https://doi.org/10.1145/1277741.1277766 [Google Scholar]
  9. Google. 2018. Customizing Results Snippets. Google Custom Search Developer Documentation. https://developers.google.com/custom-search/docs/snippets. [Google Scholar]
  10. Google. 2018. Providing Structured Data. Google Custom Search Developer Documentation. https://developers.google.com/custom-search/docs/structured_data. [Google Scholar]
  11. Lorena Leal Bando, Falk Scholer, and Andrew Turpin. 2010. Constructing Querybiased Summaries: A Comparison of Human and System Generated Snippets. In Proceedings of the Third Symposium on Information Interaction in Context (IIiX ’10). ACM, New York, NY, USA, 195–204. https://doi.org/10.1145/1840784.1840813 [CrossRef] [Google Scholar]
  12. Strzelecki, Artur, and Paulina Rutecka. “Featured snippets results in Google web search: an exploratory study.” Marketing and Smart Technologies: Proceedings of ICMarkTech 2019. Springer Singapore, 2020. [Google Scholar]
  13. M. Glenski, C. Pennycuff, and T. Weninger. 2017. Consumers and Curators: Browsing and Voting Patterns on Reddit. IEEE Transactions on Computational Social Systems 4, 4 (Dec 2017), 196–206. [CrossRef] [Google Scholar]
  14. Laura A. Granka, Thorsten Joachims, and Geri Gay. 2004. Eye-tracking Analysis of User Behavior in WWW Search. In Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’04). ACM, New York, NY, USA, 478–479. https://doi.org/10.1145/1008992.1009079 [Google Scholar]
  15. Ullrich K.H. Ecker, Stephan Lewandowsky, Ee Pin Chang, and Rekha Pillai. 2014. The effects of subtle misinformation in news headlines. Journal of Experimental Psychology: Applied 20, 4 (2014), 323–33. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.