KESMR: A Knowledge Enrichment Semantic Model For Recommending Microblogs-Reference-Cited by-同舟云学术

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KESMR: A Knowledge Enrichment Semantic Model For Recommending Microblogs

Published:2023-12-01 Issue: Volume:2 Page:669-674
ISSN:
Container-title:2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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Author:

Ranjan Himanshu¹,Mishra Sushruta¹,Al-Khasawneh Mahmoud Ahmad²,Singhal Megh¹,Sharma Vandana³,Alkhayyat Ahmed⁴

Affiliation:

1. Kalinga Institute of Industrial Technology, Deemed to be University,India

2. School of Computing, Skyline University College, University City Sharjah,Sharjah,UAE,1797

3. Department of Computational Sciences CHRIST (Deemed to be University),Delhi,India

4. College of Technical Engineering, The Islamic University,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433942/10434287/10434773.pdf?arnumber=10434773

Reference20 articles.

1. An Effective Clustering-Based Web Page Recommendation Framework for E-Commerce Websites. SN COMPUT;Zhang;SCI.,2021

2. Web page recommendation via twofold clustering: considering user behavior and topic relation;Chen;Neural Comput & Applic,2018

3. Web page recommendation system using bat optimization and weighted support vector machine algorithm for health care service

4. Web-Page Recommendation Based on Web Usage and Domain Knowledge

5. Web Page Recommendation from Sparse Big Web Data

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