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文章首先通过文献综述的方法对现有推荐系统研究的主要方法进行了系统的比较,指出了目前推荐系统研究中存在的主要问题,进而提出了一种新的推荐系统研究的视角,即基于顾客需求模式的挖掘。论文对新的研究视角下的推荐系统研究能够提供的潜在优势,可能遇到的主要挑战进行了深入的分析,并对新视角下推荐系统研究的重点内容和研究思路进行了剖析。总之,文章构建了一种新的推荐系统研究的理论框架,对新一代电子商务推荐系统的研究提供了一种新的思路和初步的理论框架。
The article first systematically compares the main methods of the existing recommendation system research through literature review, points out the main problems in the current recommendation system research, and then puts forward a new perspective of recommendation system research, that is, based on the customer Mining demand patterns. The thesis makes an in-depth analysis of the potential advantages that the research on recommended systems under the new research perspective can provide and the main challenges that they may encounter. The dissertation also analyzes the key contents and research ideas of the recommended systems under new perspectives. In short, the article constructs a new theoretical framework of recommendation system research and provides a new idea and preliminary theoretical framework for the research of the new generation e-commerce recommendation system.