An Efficient Incremental Query Recommendation based Query Ranking Model

Authors

  • B. Venkata Ramana Reddy Department of Computer Science and Engineering, K S R M College of Engineering (A), Kadapa, 516003, India.

Keywords:

Incremental Query Ranking Model (IQRM), Query recommendation, Search engine, Warehousing, Incremental gradient technique

Abstract

To retrieve the information from web, search area query estimation depending on the minor query logs is selected as an outstanding method. The log data will be developed very quickly. When new data models are developed the existing models should be updated. In this paper to keep the data up to date a new improved query ranking model is implemented. The new data is added to the existing model incrementally. The results shows the incremental query ranking model based techniques are better efficient than the existing query ranking model with better accuracy.

References

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W. J. Guo, J. Z. Huang, D. Wu, J. Guo, and Y. Lan “An incremental model on search engine query recommendation”, Neuro computing, Vol. 218, pp: 423-431, 2016.

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Published

2022-12-31

How to Cite

B. Venkata Ramana Reddy. (2022). An Efficient Incremental Query Recommendation based Query Ranking Model . International Transactions on Electrical Engineering and Computer Science, 1(2), 56-61. Retrieved from https://iteecs.com/index.php/iteecs/article/view/8

Issue

Vol. 1 No. 2 (2022): December

Section

Articles

License

Copyright (c) 2023 B. Venkata Ramana Reddy

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.