Cold-start remains a major challenge in collaborative filtering, especially when only limited user interactions are available. This study introduces Meta KG-NCF, a hybrid recommender that combines knowledge graph semantics, neural collaborative filtering, and first-order model-agnostic meta-learning (FOMAML). The knowl...
Erfan Ainul Yakin, Triyanna Widiyaningtyas, H. Suswanto et al.· Discover Artificial Intellig...· 0 citations
This study designs and evaluates a virtual reality property business simulation, SmartRoom, whose central feature is an embedded building cost estimation module. Existing virtual reality applications for the property sector stop at visualisation and do not produce a validated cost figure while a design is being explore...
Mohamad Firzon Ainur Roziqin, M. Ashar, Didik Dwi Prasetya· International Journal of Pos...· 0 citations
The foreign exchange market is highly volatile and complex, making accurate price prediction challenging. This study aims to develop an optimized deep learning framework for predicting daily closing prices of seven major currency pairs (AUDUSD, EURUSD, GBPUSD, USDCAD, USDCHF, USDCNY, and USDJPY) by integrating Bidirect...
F. Alqodri, Triyanna Widiyaningtyas, Didik Dwi Prasetya· Matrik· 0 citations
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