Merchant Recommender System Using Credit Card Payment Data
نویسندگان
چکیده
As the size of domestic credit card market is steadily growing, marketing method for companies to secure customers also changing. The process understanding individual preferences and payment patterns has become an essential element, it developed a sophisticated personalized properly understand customers’ interests meet their needs. Based on this, system that recommends products or stores suitable acts attract more effectively. However, existing research model implementing General Framework using neural network cannot reflect major domain information data when applied directly store recommendations. This study intends propose specializing in recommendation member by reflecting data. gender age were added learning industry category region settlement reconstructed be learned together with interaction A was realized combining historical customer recommend are highly likely used future. study’s proposed (NMF_CSI) showed performance improvement 3% based HR@10 5% NDCG@10, compared previous models. In addition, coverage expanded so recommended can not only actively cards but low usage
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ژورنال
عنوان ژورنال: Electronics
سال: 2023
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics12040811