<scp>QGMS</scp> : A query growth model for personalization and diversification of semantic search based on differential ontology semantics using artificial intelligence-Reference-Cited by-同舟云学术

QGMS : A query growth model for personalization and diversification of semantic search based on differential ontology semantics using artificial intelligence

Published:2022-03-08 Issue: Volume: Page:
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Deepak Gerard¹,Santhanavijayan Arumugam¹

Affiliation:

1. Department of Computer Science and Engineering National Institute of Technology Tiruchirappalli Tiruchirappalli India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12514

Reference39 articles.

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3. Personalized knowledge recommendation based on knowledge graph in petroleum exploration and development;Huang G;Int J Pattern Recogn Artif Intell,2020

4. NayyeriM VahdatiS ZhouX YazdiHS LehmannJ.Embedding‐based recommendations on scholarly knowledge graphs. European Semantic Web Conference; 2020:255‐270; Springer.

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1. Retraction: GerardDeepak, ArumugamSanthanavijayan. QGMS: A query growth model for personalization and diversification of semantic search based on differential ontology semantics using artificial intelligence. Comput Intell40: e12514, 2024 (10.1111/coin.12514);Computational Intelligence;2024-06

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