计算机技术与发展Issue(5)：25-28,4.DOI:10.3969/j.issn.1673-629X.2015.05.007
基于“读者-图书”二部图的个性化图书推荐方法
Personalized Recommendation of Books Based on “Reader-Book”Bipartite Graph
摘要
Abstract
Personalized book recommendations have become a hot area in library science. Current recommending methods,however,are facing the difficulty to automatically acquire reader interests and book topics,and the “cold start” problem. A novel personalized book recommending method based on “Reader-Book” bipartite graph derived from the book lending behavior is proposed. First,the semantic similarities among books are calculated utilizing the book titles. Second,readers are divided into different groups with the use of clustering analysis based on the similarity of reader interests. Every group is assigned a selected book set. Finally,each reader is recommended a preferable book list based on the matching degree between reader and book. Experimental results show that this method can recommend personalized books to a reader without knowing reader interests and book topics,and alleviate the “cold start” problem.关键词
二部图/个性化推荐/图书/兴趣/冷启动Key words
bipartite graph/personalized recommendation/book/interest/cold start分类
信息技术与安全科学引用本文复制引用
何绯娟,缪相林,许大炜,毕鹏..基于“读者-图书”二部图的个性化图书推荐方法[J].计算机技术与发展,2015,(5):25-28,4.基金项目
国家自然科学基金资助项目(61202184) （61202184）
陕西省教育专项项目(2013JK1207) （2013JK1207）
陕西省教育科学规划课题(SGH13461) （SGH13461）
西安交大城市学院科研项目(2013KZ02,2014KZ02,2014KZ04) （2013KZ02,2014KZ02,2014KZ04）
