An Effective Information Retrieval System Using Keyword Search Technique

Authors

  • Gholap DA Second Year Master of Engineering Department of Computer Engineering Sharadchandra Pawar College of Engineering, Dumbarwadi, Otur, Pune, India
  • S. V. Gumaste Assistant Professor Department of Computer Engineering Sharadchandra Pawar College of Engineering, Dumbarwadi, Otur, Pune, India

Keywords:

Search Engine, Query Logs, Keyword Search, Datasets, Information Retrieval

Abstract

Keyword search is the technique use for the retrieving data or information. In Information Retrieval, keyword search is a type of search method that looks for matching documents which contain one or more keywords specified by a user.A keyword search scheme to relational database becomes an interesting area of research system within the IR and relational database system. The assumption and investigation of user search goals can be very valuable in improving search engine relevance and user experience. The user tries to search about any query on the internet, Search engine gives many numbers of result related to that query. These results can be depend on metadata or on full text indexing, because of this, user need to spend a lot of time in finding the information of his interest. Therefore, in project inferred user search goals by analyzing search engine query logs. System use a framework to discover different user search goals for a query by clustering the propose feedback sessions.

References

A. Baid, I. Rae, J. Li, A. Doan, and J. Naughton ―Toward Scalable Keyword Search over Relational Data,‖ Proceedings of the VLDB En-dowment, vol. 3, no. 1, pp. 140–149, 2010.

G. Bhalotia, A. Hulgeri, C. Nakhe, S. Chakrabarti, and S. Sudarshan, ―Keyword Searching and Browsing in Databases using BANKS,‖ in Proceedings of the 18th International Conference on Data Engineering, ser. ICDE ’02, February 2002, pp. 431–440.

B. B. Dalvi, M. Kshirsagar, and S. Sudarshan ―Keyword Search on External Memory Data Graphs,‖ Proceedings of the VLDB Endowment, vol. 1, no. 1, pp. 1189–1204, 2008.

J. X. Yu, L. Qin, and L. Chang, Keyword d Browsing in Databases using BANKS,‖ in Proceedings of the 18th International Conference on Data Engineering ser. ICDE [5] ’02, February 2002, pp. 431–440.

J. Coffman and A.C. Weaver, ―A Framework for Evaluating Database Keyword Search Strategies,‖ in Proceedings of the 19th ACM Inter-national Conference on Information and Knowledge Management,ser. CIKM ’10, October 2010, pp. Search in Databases, 1st ed. Morgan and Claypool Publishers, 2010.

Y. Luo, X. Lin, W. Wang, and X. Zhou, ―SPARK: Top-k Keyword Query in Relational Databases,‖ in Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, ser. SIGMOD ’07, June 2007, pp. 115–126.

S. Cohen, J. Mamou, Y. Kanza, and Y. Sagiv. XSEarch: A semantic search engine for XML. In VLDB, 2011.[8] W. Webber, ―Evaluating the Effectiveness of Keyword Search,‖ IEEE Data Engineering Bulletin, vol. 33, no. 1, pp. 54–59, 2010.

Xiang-Yang Li and Taeho Jung , ―Search Me If You Can: Privacy-preserving Location Query Service‖, National Natural Science Founda-tion of China, arXiv:1208.0107v3 [cs.CR] 11 Apr 2013.

Shiwen Cheng, Arash Termehchy, and Vagelis Hristidis, ―Efficient Pre-diction of Difficult Keyword Queries over Databases‖, IEEE Trans. Knowledge and Data Engineering., June 2014, ISSN :1041-4347.

Reshma Sawant, Akshaya Deshmane, Shweta Sawant, ―Personalization of Search Engines for Mobiles‖, International Journal of Advanced Engineering & Innovative Technology, Vol 1, Issue 1, April-2014, 24-29 ISSN: 2348-7208

W. Webber, ―Evaluating the Effectiveness of Keyword Search,‖ IEEE Data Engineering Bulletin, vol. 33, no. 1, pp. 54–59, 2010.

Zheng Lu, Student Member, IEEE, Hongyuan Zha, Xiaokang Yang, Senior Member, IEEE, Weiyao Lin,Member, IEEE, and Zhaohui Zheng A New Algorithm for Inferring User Search Goals with Feedback Sessions VOL. 25, NO. 3, MARCH 2013.

Downloads

Published

2024-02-26

How to Cite

Gholap, D. A., & S. V., G. (2024). An Effective Information Retrieval System Using Keyword Search Technique. COMPUSOFT: An International Journal of Advanced Computer Technology, 4(06), 1862–1867. Retrieved from https://ijact.in/index.php/j/article/view/326

Issue

Section

Original Research Article

Similar Articles

<< < 13 14 15 16 17 18 19 20 21 22 > >> 

You may also start an advanced similarity search for this article.