当今, 人工智能已经广泛应用到各个领域中, 并取得了显著的效果. 数据归一化是人工智能应用
落地中的一个重要环节, 它有助于避免神经网络因数据量纲的复杂性对数据进行错误建模 …

For the past few years most published research on recommendation algorithms has been
based on deep learning (DL) methods. Following common research practices in our field …

In 2019, the Recommender Systems Challenge [17] dealt for the first time with a real-world
task from the area of e-tourism, namely the recommendation of hotels in booking sessions …

The large mass of various products/services accessible on the Internet has motivated the
development of recommender systems to refine the selection of items aligned with users' …

In this graduation thesis, we focused on exploring novel methods and approaches in data
anal-ysis and processing for recommendation systems. We aimed to address the challenges …