Enhancing Personalized Search with AI: A Hybrid Approach Integrating Deep Learning and Cloud Computing
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2024, Vol 12, Issue 5
Abstract
This paper presents a novel hybrid approach for enhancing personalized search by integrating deep learning techniques with cloud computing infrastructure. The proposed system uses a multi-layer adaptive model augmented with a hierarchical monitoring network to capture user preferences and query semantics. Cloud-based architecture, used for Amazon Web Services, provides the necessary scalability and computing resources for the processing of large-scale research data. The system employs a custom middleware layer for efficient integration of the deep learning component with the distributed cloud infrastructure. An analysis of data on 100 million searches showed significant improvements in search accuracy and user satisfaction. The combined method achieves a 15% increase in Average Precision and a 12% improvement in Cost-effectiveness compared to the state-of-the-art baseline. Scalability analysis reveals the performance, maintaining sub-200ms latency for 95 percent. The system transforms the resource allocation efficiently into a non-volatile operation, demonstrating its potential for real-world deployment. This research contributes to the evolving field of AI-driven search optimization, solving problems in personal accuracy, scalability, and efficiency. The findings have implications for the design and implementation of ongoing research, providing insight into the integration of advanced machine learning with cloud resources.
Authors and Affiliations
Jiayi Wang, Tianyu Lu, Lin Li, Decheng Huang
Keywords
Related Articles
- EP ID EP749880
- DOI 10.55524/ijircst.2024.12.5.17
- Views 32
- Downloads 0
Feature Extraction Technique for Human Face Recognition – A Hybrid Approach
This paper presents a new feature extraction technique for recognizing human faces. The proposed method uses hybrid feature extraction techniques such as Principal Component Analysis and Gabor Wavelet are combined togeth...
In Tharaka South, Eastern Kenya, Socio-Economic Variables Influence the Use of Rainwater Collecting and Conservation Methods
Rainwater harvesting and conserving technologies are essential interventions for water supply and food production in Kenya's dry and semi-arid regions due to low soil moisture levels. Despite extensive study on the subje...
Nature, Nurture, and Human Behavior: An Endless Debate
The aim of this publication is to resolve the endless debate to what degree those behavioral aspects are the consequence between either nature (i.e., inherited inheritance), nutrition (i.e., acquired learning), or a comb...
EV Charging Using DC Storage and Sustainable Energy
As countries and automakers focus on initiatives such as "keeping green," climate action, and so on, the present worldwide inclination favoring electric vehicles is growing. An inherent aspect of this is the design of el...
Comparative Analysis of Flat Slab and Grid Slab in Different Seismic Zones
Because of ever-increasing urbanization and a flexuous population, there has been an increasing call for the construction of tall buildings. Earthquakes are the bane of such tall buildings. Because earthquake forces are...