ARCHIVES
Research Article
Device Wizard: Your ultimate buying companion
Shelly1
Shraddha Tayal2
Ayush Ojha3
Mandeep Katre4
123 Department of Computer Science and Engineering Inderprastha Engineering College, Sahibabad, Ghaziabad, Uttar Pradesh, India. 4 Assistant Professor, Department of Computer Science and Engineering Inderprastha Engineering College, Sahibabad, Ghaziabad, Uttar Pradesh, India.
Published Online: May-June 2024
Pages: 119-124
Cite this article
No DOIReferences
1. Smith,A.(2023).Opti Select: A Personalized Mobile Device Recommendation App.[Online]
2. Garcia,L.M.(2023). Smart Choice:Empower in users with intelligent mobile device recommendations.
3. Wong, S. T., Patel, R. (2023). TechPulse: Revolutionizing Device Selection Through Cutting-Edge Recommendations.
4. Johnson, K. A. (2022). InsightHub: Enhancing User Experience in Personalized Content Recommendation Systems. [Online].
5. Chen, J. Y., Rodriguez, M. (2022). DynamicSelect: A Novel Approach for Adaptive Mobile Device Recommendations in Real-Time
Environments.
6. Taylor, R. B. (2022). IntelliGadget: An AI-driven Framework for Context-Aware Mobile Device Suggestions in Smart Environments.
7. Kim, H. S., Singh, A. (2022). EvoTechAdvisor: Evolving Strategies for Intelligent Device Recommendations in a Rapidly Changing
Tech Landscape.
8. Martinez, E. P. (2022). QuantumSuggest: Harnessing Quantum Computing for Enhanced Personalized Mobile Device
Recommendations.
9. Nguyen, Q. H., Lopez, M. A. (2022). SwiftSelect: Accelerating Mobile Device Decision-Making Through Agile Recommendation
Algorithms.
10. Thompson, G. C. (2022). SynthAI: A Synergistic Approach to Artificial Intelligence-driven Mobile Device Recommendations.
11. Hernandez, P. F., Chang, W. (2022). FutureFlow: Anticipating User Preferences for Proactive Mobile Device Recommendations.
12. Lee, J. W. (2022). NexusAdvisor: Bridging the Gap Between User Preferences and Cutting-Edge Mobile Device Technologies.
2. Garcia,L.M.(2023). Smart Choice:Empower in users with intelligent mobile device recommendations.
3. Wong, S. T., Patel, R. (2023). TechPulse: Revolutionizing Device Selection Through Cutting-Edge Recommendations.
4. Johnson, K. A. (2022). InsightHub: Enhancing User Experience in Personalized Content Recommendation Systems. [Online].
5. Chen, J. Y., Rodriguez, M. (2022). DynamicSelect: A Novel Approach for Adaptive Mobile Device Recommendations in Real-Time
Environments.
6. Taylor, R. B. (2022). IntelliGadget: An AI-driven Framework for Context-Aware Mobile Device Suggestions in Smart Environments.
7. Kim, H. S., Singh, A. (2022). EvoTechAdvisor: Evolving Strategies for Intelligent Device Recommendations in a Rapidly Changing
Tech Landscape.
8. Martinez, E. P. (2022). QuantumSuggest: Harnessing Quantum Computing for Enhanced Personalized Mobile Device
Recommendations.
9. Nguyen, Q. H., Lopez, M. A. (2022). SwiftSelect: Accelerating Mobile Device Decision-Making Through Agile Recommendation
Algorithms.
10. Thompson, G. C. (2022). SynthAI: A Synergistic Approach to Artificial Intelligence-driven Mobile Device Recommendations.
11. Hernandez, P. F., Chang, W. (2022). FutureFlow: Anticipating User Preferences for Proactive Mobile Device Recommendations.
12. Lee, J. W. (2022). NexusAdvisor: Bridging the Gap Between User Preferences and Cutting-Edge Mobile Device Technologies.
Related Articles
2024
Embedding Artificial Intelligence for Personal Voice Assistant Using NLP
2024
Analysis of Pedestrian Steel Bridge subjected the Seismic Load and Wind Load using Damper at different Span
2024
Review Paper on Comparison of Asymmetric and Symmetric RCC Building with Soil Structure Interaction by Dynamic Loading
2024
BLYNK RFID and Retinal Lock Access System
2024
ML-Driven Facial Synthesis from Spoken Words Using Conditional GANs
2024