Revolutionizing Image Recommendations: A Novel Approach with Social Context and CNN-Reference-Cited by-同舟云学术

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Revolutionizing Image Recommendations: A Novel Approach with Social Context and CNN

Published:2023-12-29 Issue: Volume:210 Page:1-6
ISSN:
Container-title:2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
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Author:

Kumar Kanaparthi Suresh¹,Kalangi Ruth Ramya²,Gurrala Lavanya³,Hanoon Noor⁴,Suman M²,Saikumar Kayam⁵

Affiliation:

1. School of Computer Science and Artificial Intelligence, SR University,Warangal,TS,India,506 371

2. Koneru Lakshmaiah Education Foundation,Department of C.S.E.,Vaddeswaram,India,522302

3. MLR Institute of Technology,Department of Computer Science and Information Technology,Hyderabad,Telangana,India

4. Technical Engineering College, Al-Ayen University,Department of Computer Technical Engineering,Thi-Qar,Iraq

5. School of engineering, Malla Reddy University,Department of CSE,Hyderabad,Telangana,500043

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441789/10441802/10442996.pdf?arnumber=10442996

Reference35 articles.

1. Capsmf: a novel product recommender system using deep learning based text analysis model

2. A Hierarchical Attention Model for Social Contextual Image Recommendation

3. A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems

4. An object-based convolutional neural network (OCNN) for urban land use classification

5. Multimedia Recommender Systems: Algorithms and Challenges

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