针对内容信息过载,冷启动等导致移动应用市场用户消费受限、广告收入受阻的问题,文章提供一种能够提高移动应用市场人均分发能力的内容推荐算法.首先,收集一段时间内产生的内容推荐数据,作为待处理的推荐内容集合.然后,通过一种改进的实时CTR推荐算法,对已有内容进行基于展示、点击、下载的重新排列,并将重新排列的数据展示在移动应用市场内部.与传统的CTR推荐算法相比较,改进后的实时CTR推荐算法在评价维度上更加合理.通过对比,改进后的实时CTR推荐算法可以提高移动应用市场的分发能力,适用于信息过载下的移动应用市场.%For the content and information overload,cold start and others as results of the limitation of mobile applica-tion market users' consumption and the obstruction of advertise revenue, in this paper, a content-recommend algo-rithm to improve the consumption ability of the mobile application market for each consumer is provided. First,the rec-ommended content datum generated within the period are collected as the pending set. Then, through an improved re-al-time CTR recommendation algorithm, the existing contents based on their impressions are rearranged, clicked and downloaded,then the result in mobile application market is displayed. Compared with the traditional CTR recommenda-tion algorithm,the improved real-time CTR recommendation algorithm is more reasonable in the evaluation dimensions. By contrast, the improved real-time recommendation algorithm can improve the distribution capabilities of the mobile application market,especially for those with the problem of information overload.
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