Abstract
In recent years, complementary recommendation has received extensive attention in the e-commerce domain. In this paper, we comprehensively summarize and compare 34 representative studies conducted between 2009 and 2024. Firstly, we compare the data and methods used for modeling complementary relationships between products, including simple complementarity and more complex scenarios such as asymmetric complementarity, the coexistence of substitution and complementarity relationships between products, and varying degrees of complementarity between different pairs of products. Next, we classify and compare the models based on the research problems of complementary recommendation, such as diversity, personalization, and cold-start. Furthermore, we provide a comparative analysis of experimental results from different studies conducted on the same dataset, which helps identify the strengths and weaknesses of the research. Compared to previous surveys, this paper provides a more updated and comprehensive summary of the research, discusses future research directions, and contributes to the advancement of this field.
Abstract (translated)
近年来，在电子商务领域，互补推荐得到了广泛的关注。在本文中，我们全面总结了2009年至2024年间34项研究的结果，并对其进行了比较。首先，我们比较了建模产品互补关系所使用的数据和方法，包括简单的互补关系和较为复杂的情况，如不对称互补关系、产品之间的替代关系和不同产品之间的互补关系程度不同等。接下来，我们根据互补推荐的 research problems（多样性、个性化、冷启动）对模型进行分类并比较，进一步，我们在同一数据集上比较了不同研究的结果，有助于确定研究工作的优势和不足。与之前的调查相比，本文提供了更全面、更新的研究总结，讨论了未来的研究方向，并为这个领域的发展做出了贡献。
URL
https://arxiv.org/abs/2403.16135
