This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …

This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …

全面地总结推荐系统的研究现状, 旨在介绍网络推荐的算法思想, 帮助读者了解这个研究领域.
首先阐述了推荐系统研究的工业需求, 主要研究机构和成果发表的期刊会议; …

推荐系统是电子商务系统中最重要的技术之一. 随着电子商务系统用户数目和商品数目的日益
增加, 在整个商品空间上用户评分数据极端稀疏, 传统的相似性度量方法均存在各自的弊端 …

摘要互联网技术的迅猛发展把我们带进了信息爆炸的时代. 海量信息的同时呈现,
一方面使用户很难从中发现自己感兴趣的部分, 另一方面也使得大量少人问津的信息成为网络中 …

对个性化服务技术中用户描述文件的表达与更新, 资源描述文件的表达, 个性化推荐技术,
个性化服务体系结构以及该领域的主要研究成果进行了综述. 通过比较现有原型系统的实现方式 …

For a long time, different recommendation tasks require designing task-specific architectures
and training objectives. As a result, it is hard to transfer the knowledge and representations …

Recently, graph collaborative filtering methods have been proposed as an effective
recommendation approach, which can capture users' preference over items by modeling the …

In the past decades, recommender systems have attracted much attention in both research
and industry communities, and a large number of studies have been devoted to developing …

With the explosive growth of online information, recommender systems play a key role to
alleviate such information overload. Due to the important application value of recommender …