Usage of Search Engines for Information Retrieval by the Engineering Faculty in Tamil Nadu
DOI:
https://doi.org/10.51983/ijiss.2014.4.2.416Keywords:
Information Retrieval, Search Engines, Engineering Colleges, Engineering Faculty, Information Search, Information Search StrategyAbstract
The academicians and researchers collect information of their interest utilizing the Web Search Engines for their day-to-day activities, teaching and research needs. But the users may be ignorant on the effective Search Engine to be used for the purpose. This article examines preference of the Search Engines by engineering faculty and their knowledge on Search Strategies.
References
Amati, G., & others. (2004). Robustness and selective application of query expansion. In Proceedings of the 26th European Conference on Information Retrieval (ECIR '04). Springer. Sunderland, England.
Atsaros, G., Spinellis, D., & Louridas, P. (2008). Site-specific versus general-purpose web search engines: A comparative evaluation. In IEEE. New York.
Bitirim, Y., Tonta, Y., & Sever, H. (2002). Information retrieval effectiveness of Turkish search engines: Advances in information systems (Vol. 2457). Springer-Verlag. Heidelberg.
Baeza-Yates, R., Hurtado, C. A., & Mendoza, M. (2004). Query recommendation using query logs in search engines: Advances in web intelligence. In Second International Atlantic Web Intelligence Conference. Atlantic.
Bradley, P. (2006). Search engines: Where we were, are now, and will ever be (Vol. 47). Ariadne. University of Bath, UK.
Bradley, P. (2008). Search engines: Google still growing (Vol. 56). Ariadne. University of Bath, UK. July.
Baeza-Yates, R., & Ribeiro-Neto, B. (1999). Modern information retrieval. Addison Wesley. New Jersey.
Cambridge University Press. (2009). Information retrieval. Cambridge University Press. London.
Chawla, S., & Bedi, P. (2007). Improving information retrieval precision by finding related queries with similar information need using information scent. In First International Conference on Emerging Trends in Engineering and Technology. IEEE. New York.
Hiemstra, D. (2009). Information retrieval models. John Wiley and Sons Ltd. New York.
Harrington, B., Brazile, R., & Swigger, K. (2008). Using a search engine to query a relational database. In IEEE. New York.
Jansen, M., & others. (1998). Real-life information retrieval: A study of user queries on the web (Vol. 32, No. 1). ACM SIGIR Forum. USA.
Jones, K. S., Walk, S., & Robertson, S. E. (2000). A probabilistic model of information retrieval: Development and comparative experiments, part 1. IEEE. New York. January.
Jansen, B. J., & Pooch, U. (2001). A review of web searching and a framework for future research (Vol. 52, No. 3). Journal of the American Society for Information Science and Technology.
Kanto, P. B. (1994). Information retrieval technique (Vol. 29). American Society for Information Science (ASIS). Maryland.
Information retrieval models. (2009). Retrieved from http://comminfo.rutgers.edu/~aspoerri/InfoCrystal/Ch_2.html
Google Search Engines. (n.d.). Retrieved from http://infolab.stanford.edu/~backrub/google.html
Internet Statistics. (n.d.). Retrieved from http://www.internetworldstats.com/emarketing.html
Information Retrieval. (n.d.). Retrieved from www.wikipedia.org
http://whatis.techtarget.com/definition/0,,sid9_gci1146695,00.html
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2014 The Research Publication
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
