摘要
传统的基于“用户–项目”二维推荐系统不考虑用户或项目相关的情景信息,使得推荐系统在项目与用户需求匹配过程中自适应性不够,进而导致个性化推荐质量不高。本文在分析态势信息推荐中涉及的关键因素的基础上,将情景信息融入到传统的基于“用户–项目”的推荐系统中,构建了多维多层次战场态势信息推荐模型,将二维推荐模型扩展为多维推荐模型,以提高推荐系统的准确性。
The traditional two-dimensional recommendation system based on “user-item” does not consider the user or item related context information, which makes the recommendation system not adaptive enough in the process of matching item and user needs, and then leads to the low quality of personalized recommendation. Based on the analysis of the key factors involved in the situation information recommendation, this paper integrates the context information into the traditional recommendation system based on “user-item”, constructs a multi-dimensional and multi-level battle-field situation information recommendation model, and extends the two-dimensional recommendation model to multi-dimensional recommendation model, so as to improve the accuracy of the recommendation system.
出处
《计算机科学与应用》
2021年第5期1457-1467,共11页
Computer Science and Application