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| Explainable Real-Time Book Information Recommendation Model |
| Yu Yisheng1, Wei Rui2, Liu Xinyan1 |
1. Department of Economics and Management, South China Normal University, Guangzhou 510000
2. Guangzhou CEPREI Tengrui Information Technology Co. Ltd, Guangzhou 510000 |
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Abstract This study creates a baseline that considers the book and user simultaneously to improve explainability and precision and to maintain good real-time performance. Furthermore, we research it through comparative analysis and offline research, which prove that the bas-ICF algorithm performs better in reasonability and richness of the recommended reason. bas-ICF also performs better in terms of precision and maintains good real-time performance.
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Received: 04 July 2018
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