Web-Based Augmented Reality and Hybrid Recommendation System  for Furniture Visualization and Personalized Suggestions

Keith Clarence Tenorio Duerme; Mira Flor Godilo; Jerome Tinagsa Olaviaga; Anna Liza O Villanueva; Marvin H Bicua

doi:10.36948/ijfmr.2026.v08i02.72173

Web-Based Augmented Reality and Hybrid Recommendation System for Furniture Visualization and Personalized Suggestions

Author(s)	Keith Clarence Tenorio Duerme, Mira Flor Godilo, Jerome Tinagsa Olaviaga, Anna Liza O Villanueva, Marvin H Bicua
Country	Philippines
Abstract	In the Philippine e-commerce fields, traditional 2D product visualization often fails to convey the scale and texture of handcrafted furniture, leading to customer dissatisfaction and frequent returns. This study developed a Web-Based Augmented Reality (AR) and Hybrid Recommendation System for Simeon Home Furniture to address these visualization gaps and provide personalized suggestions and improve shopping experiences. Utilizing a descriptive-developmental research design and the Iterative Waterfall Model, the system was built using Laravel, MySQL, and ARCore/ARKit. The architecture integrates a hybrid recommendation engine combining collaborative and content-based filtering with fallback logic to mitigate "cold start" data issues. Evaluation of the system was conducted via alpha and beta testing based on ISO/IEC 25010 standards. Results from IT experts indicated a high level of effectiveness with an overall weighted mean of 3.6 (86.7%), with Compatibility scoring the highest at 3.9. The average score for user acceptance testing among furniture buyers was 3.6 (90%), and the average score for usability was 3.7 (92.5%), which shows that the system's interface is easy to use. The findings confirm that the transition from static social media images to immersive AR previews effectively eliminates the "visualization gap," reducing the need for physical store visits and home measurements. The study concludes that integrating AR with robust data-driven recommendation logic significantly enhances consumer confidence and operational efficiency in the furniture retail sector.
Keywords	Augmented Reality, Hybrid Recommendation, Collaborative Filtering, Content-Based Filtering, User-based Collaborative Filtering, Recommendation, Visualization, Web-based system, Online shopping, Virtual image, 3D images, Computer science
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-25
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.72173

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Web-Based Augmented Reality and Hybrid Recommendation System for Furniture Visualization and Personalized Suggestions

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