Automated Learning Engines and their Potential to Enhance Information Retrieval Accuracy-Reference-Cited by-同舟云学术

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Automated Learning Engines and their Potential to Enhance Information Retrieval Accuracy

Published:2023-12-29 Issue: Volume:20 Page:1-6
ISSN:
Container-title:2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
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Author:

Sakhare Nitin N.¹,Thangarasu N.²,S Rajarajeswari³,Dedgaonkar Suruchi G.⁴,Rengarajan A⁵,Pareek Ravi Kant⁶

Affiliation:

1. Vishwakarma Institute of Information Technology,Department of Computer Engineering,Pune,India

2. Karpagam Academy of Higher Education,Department of Computer Science,Coimbatore

3. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Science and Humanities,Chennai

4. Vishwakarma Institute of Information Technology,Department of Information Technology,Pune,India

5. Jain (Deemed to be University),Department of Computer Science and Information Technology,Bangalore,Karnataka,India

6. Vivekananda Global University,Department of Civil Engineering,Jaipur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441789/10441802/10442971.pdf?arnumber=10442971

Reference17 articles.

1. Challenges in information retrieval and language modeling

2. ViPER

3. Web-scale information extraction in knowitall

4. Learning to Rank for Information Retrieval

5. Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction

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