A recommender model based on trust value and time decay: Improve the quality of product rating score in E-commerce platforms
作者： Muhittin Isik , Hasan Dag
DOI: 10.1109/BIGDATA.2017.8258140
关键词: Information retrieval 、 Product (category theory) 、 Value (mathematics) 、 Computer science 、 Quality (business) 、 E-commerce 、 Time decay 、 Recommender system 、 Order (business)
摘要: Most of the existing products rating score algorithms do not take fake accounts and time decay users' ratings into account when creating list recommendations. The trust values to an item may improve quality product in e-commerce platforms, especially it is thought that nowadays majority customers read reviews before making a purchase. In this paper, we first introduce concept value users by explaining its mathematical definition redefine based on relationship. Then calculate clear. After execute both together order show their effects score. Finally, present experimentally effectiveness three approaches large real dataset.
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