Page 61 - 《软件学报》2020年第11期

陆璇 等:数据驱动的移动应用用户接受度建模与预测 3377

中的丰富数据,刻画了移动应用软件生命周期不同阶段的重要特征.通过应用开发不同阶段的 3 个典型问题,讨
论了针对具体问题如何提取合适的用户接受度指标,并使用协同过滤、机器学习、概率模型等方法建立用户接
受度预测模型.使用大规模的真实数据,通过实验验证了这些指标的可预测性,分析了指标对开发过程的指导作
用.当然,由于应用市场中存在的用户数据类型繁多,开发者需要解决的问题多样,同时实际可获得的数据集有
限,本文给出的用户接受度指标模型尚不完备,选取的实例也未必能够充分代表开发者所遇到的实际问题.因
此,本文提出的用户接受度指标模型仍需要在实践中进一步扩展与完善.

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