Harnessing Natural Language Processing (NLP) to Enhance Search Engine Performance

Authors

  • S K Sathya Hari Prasad Computer Applications Department, PVKN Govt College (A), Chittoor, Andhra Pradesh, India Author
  • M Lavan Computer Applications Department, PVKN Govt College (A), Chittoor, Andhra Pradesh, India Author

DOI:

https://doi.org/10.32628/CSEIT2410442

Keywords:

NLP, AI, Knowledge Seek

Abstract

In the digital era characterized by an abundance of online information, efficient search engine tools are pivotal for navigating this vast ocean of content. Natural Language Processing (NLP), an offshoot of Artificial Intelligence, has emerged as a transformative force revolutionizing search engine, ensuring greater accuracy and efficacy in delivering search results. By Empowering Search Engines with NLP: NLP goes beyond the conventional keyword matching technique to unravel the genuine intent behind user queries, even when they are ambiguous or contain typos. Picture searching for the "best pizza near me" and receiving customized results tailored to your specific preferences, encompassing crust type, toppings, and individual dietary restrictions. Thanks to NLP, this is now within reach as it extracts the latent meaning concealed within apparently straightforward queries.

Downloads

Download data is not yet available.

References

Stanford NLP Group: https://nlp.stanford.edu/software/

Hugging Face: https://huggingface.co/

The NLP Podcast: https://podcasts.feedspot.com/nlp_podcasts/

This information aims to provide a broader perspective on NLP and its potential impact on various aspects of technology and society.

https://research.aimultiple.com/future-of-nlp/

https://www.coveo.com/blog/nlp-search-engine/

Downloads

Published

13-11-2024

Issue

Section

Research Articles

Similar Articles

1-10 of 227

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