论文标题
搜索和建议中的结果多元化：调查
Result Diversification in Search and Recommendation: A Survey
论文作者
论文摘要
多元化的回报结果是检索系统中的重要研究主题，以满足客户的各种利益和提供商的平等市场敞口。近年来，人们对多样性感知研究的关注越来越多，并伴随着有关促进搜索和建议多样性的方法的扩散。但是，检索系统中多样性感知的研究缺乏系统的组织，并且相当分散。在这项调查中，我们是第一个提出统一的分类法，以对搜索和建议中的多元化进行分类，这是检索系统的两个最广泛研究的领域。我们开始调查，简要讨论为什么多样性在检索系统中很重要，然后摘要搜索和建议中的各种多样性问题，突出了它们的关系和差异。对于调查的主体，我们从搜索和建议的角度提出了检索系统中多元化指标和方法的统一分类。在调查的后面部分，我们讨论了搜索和建议中多样性感知研究的开放研究问题，以激发未来的创新并鼓励在现实世界系统中实施多样性。
Diversifying return results is an important research topic in retrieval systems in order to satisfy both the various interests of customers and the equal market exposure of providers. There has been growing attention on diversity-aware research during recent years, accompanied by a proliferation of literature on methods to promote diversity in search and recommendation. However, diversity-aware studies in retrieval systems lack a systematic organization and are rather fragmented. In this survey, we are the first to propose a unified taxonomy for classifying the metrics and approaches of diversification in both search and recommendation, which are two of the most extensively researched fields of retrieval systems. We begin the survey with a brief discussion of why diversity is important in retrieval systems, followed by a summary of the various diversity concerns in search and recommendation, highlighting their relationship and differences. For the survey's main body, we present a unified taxonomy of diversification metrics and approaches in retrieval systems, from both the search and recommendation perspectives. In the later part of the survey, we discuss the open research questions of diversity-aware research in search and recommendation in an effort to inspire future innovations and encourage the implementation of diversity in real-world systems.
