Improving Customer Behaviour Prediction with the Item2Item model in Recommender Systems
Recommender Systems are the most well-known applications in E-commerce sites. However, the trade-off between runtime and the accuracy in making recommendations is a big challenge. This work combines several traditional techniques to reduce the limitation of each single technique and exploits the Ite...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2018-12-01
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| Series: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.19-12-2018.156079 |