基于用户树形浏览模式下的推荐系统协同式过滤研究

Research on Collaborative Filtering for Recommender Systems Based on User Tree View Mode

针对用户普遍使用的树形浏览网页模式,提出一种新的自上而下的用户访问路径收集算法,此算法减少了短路径的生成,并将其合并到用户浏览树形路径中;基于交叉页面访问频度的概念建立交叉页面访问频度矩阵,为推荐系统的协同式过滤核心处理数据源,以交叉页面用户访问比重为判断依据,实现对用户浏览网页关联页面的推荐。

In view of users commonly using tree browser pattern,this paper presents a new collection algorithm of user access path top-down to reduce the generation of a short path,and merges it into the users browser tree;based on the concept of cross-page access frequency,establishes the cross-page access frequency matrix for collaborative filtering recommendation system core processing data source.Taking the cross-page user access weight for the judgment basis,it achieves the recommendation of the page associated with the user browser.