校园二手书交易网站推荐引擎的设计与实现

摘要

College used book trade is different from the general online shopping.Recommendation engine applied common recommendation algorithm cannot be very good to recommend.In order to make students' used book shopping site better to recommend books to users,to improve the accuracy of the results and the efficiency of recommendation,based on the original recommendation module,the paper proposed a suitable mode for shopping website of used books recommendation engine with an optimal recommendation algorithm module.The new algorithm module has the following characteristics:(1) Based on the items of the recommendation algorithm,books' scores and " old and new" factors are taken into consideration to optimize recommendation results;(2) For the convenience of users purchase,a new packaged recommendation function is added,so users can buy the required books by pushing one key;(3) According to the fact that the needs of students can be predicted,the recommendation algorithm was designed based on time nodes.%大学二手书交易同一般网络购物不同,直接应用普通推荐算法设计推荐引擎不能很好地进行推荐.为了使大学生二手书购物网站能够更好地为用户推荐书籍,提高推荐结果的准确性及推荐效率,在原有推荐模块的基础上针对大学生用户的特殊性提出了一种适用于二手书购物网站的推荐算法模块优化推荐引擎.该算法模块有以下特性:①在基于物品推荐算法的基础上,结合书籍评分、新旧等因子优化推荐结果;②为方便用户购书新增打包推荐功能,使用户可以一键购买多本所需书籍;③根据用户群体购书可预测的特性加入了基于时间节点的推荐算法,即按时得需,按需推荐.