Deep Interest Evolution Network for Click-Through Rate Prediction
نویسندگان
چکیده
منابع مشابه
Deep Interest Network for Click-Through Rate Prediction
To better extract users’ interest by exploiting the rich historical behavior data is crucial for building the click-through rate (CTR) prediction model in the online advertising system in e-commerce industry. There are two key observations on user behavior data: i) diversity. Users are interested in different kinds of goods when visiting e-commerce site. ii) local activation. Whether users clic...
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ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2019
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v33i01.33015941