在描述移动电子商务推荐系统的基本特征基础上，分析了显式评分输入和隐式浏览输入的差异，认为移动互联网环境下隐式浏览输入是推荐输入的主流。进而通过用户兴趣提取、用户兴趣计算以及浏览时间确定等环节，得到移动环境下用户对产品的兴趣度。该方法的提出一方面充实了移动推荐系统的理论研究成果，另一方面也对推荐系统中隐式浏览输入的研究有一定的推动作用。%Based on describing the basic characteristics of the mobile e-commerce recommender systems, the differences of implicit navigation input and implicit navigation input is analyzed. The implicit navigation input is the mainstream Recommendation input in mobile Internet environment. Meanwhile, through user interest extraction, user interest calculation and browsing time determination, user interest level in the mobile environment is get. The proposed method will be beneift to the mobile recommender systems theory research. On the other hand, it will promote the implicit navigation research of recommendations.
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