Survey on Search Engine Localization and Optimization

P. Meshram¹ , T. Katole² , N. Parate³ , A. Allewar⁴ , S. Dafre⁵ , S. Patil⁶ , S. Naveed⁷

1. Dept. of CSE, Priyadarshini J.L. College of Engineering, Nagpur, India.
2. Dept. of CSE, Priyadarshini J.L. College of Engineering, Nagpur, India.
3. Dept. of CSE, Priyadarshini J.L. College of Engineering, Nagpur, India.
4. Dept. of CSE, Priyadarshini J.L. College of Engineering, Nagpur, India.
5. Dept. of CSE, Priyadarshini J.L. College of Engineering, Nagpur, India.
6. Dept. of CSE, Priyadarshini J.L. College of Engineering, Nagpur, India.
7. Dept. of CSE, Priyadarshini J.L. College of Engineering, Nagpur, India.

Correspondence should be addressed to: meshram.pranay@gmail.com.

Section:Survey Paper, Product Type: Isroset-Journal
Vol.6 , Issue.1 , pp.63-66, Feb-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i1.6366

Online published on Feb 28, 2018

Copyright © P. Meshram, T. Katole, N. Parate, A. Allewar, S. Dafre, S. Patil, S. Naveed . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
User get bulk of data whenever he/she search for a particular topic on internet which is not useful for user due to this lots of time is wasted of user. This application which will provide an optimized result for search query according to the user behavior and his previous history. Search engine optimization is a strategical technique to take a web document in top search results of a search engine. Also, localization is a part which will provide notifications of the nearby places, along with the range filter, as per the requirement of the customer. Google is most user friendly Search Engine proved for the Indian users which gives user oriented results. In addition, most of other search engines uses Google search pattern so we have concentrated on it. So, if a page is optimized in Google it is optimized for most of the search engines. This research is based on reviewing various practices that are used to make websites search engine friendly.

Key-Words / Index Term :
Search Engine Localization; Search engine Optimization; White Hat SEO; Black Hat SEO; Location-based Services

References :
[1] Neha Sahu, Richa Chhabra,” Review on Search Engine Optimization”, Volume 6, Issue 6, June (2016).
[2] Joeran Beel, Bela Gipp, and Erik Wilde,”Academic Search Engine Optimization (ASEO): Optimizing Scholarly Literature for Google Scholar” 41 (2): 176–190, January 2010.
[3] Vinit Kumar Gunjan1 , Pooja2 , Monika Kumari3 ,Dr Amit Kumar4 ,Dr (col.) Allam appa rao5,” Search engine optimization with Google ” IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No 3, January 2012.

[4] J. Bao, Y. Zheng and M. F. Mokbel, “Location-Based and Preference-Aware Recommendation” Proceedings of the 20th Inter- national Conference on Advances in Geographic Information Systems SIGSPATIAL, Redondo Beach, 6-9 November 2012, pp. 199-208.