| 基于协同过滤和网络结构的个性化推荐算法 |
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| 引用本文： | 刘兆兴,张宁,李季明. 基于协同过滤和网络结构的个性化推荐算法[J]. 复杂系统与复杂性科学, 2011, 8(2): 45-50 |
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| 作者姓名： | 刘兆兴 张宁 李季明 |
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| 作者单位： | 上海理工大学管理学院,上海,200093 |
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| 基金项目： | 国家自然科学基金，上海市重点学科项目，上海高校选拔培养优秀青年教师科研专项基金 |
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| 摘 要： | 综合了经典的协同过滤算法和基于网络结构的个性化推荐算法.项目同其他所有项目的相似度之和被认为是项目在个性化推荐系统中的初始推荐资源,然后通过二部图的网络结构将这种资源进行重新分配.同时考虑两个项目之间的相互作用关系,提出了最终的推荐算法.最后,根据用户未曾收集项目最终所获得的资源进行排序,向用户推荐资源最多的项目.通过...
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| 关 键 词： | 协同过滤 用户相似度 项目相似度 用户-项目二部图网络结构 个性化推荐 |
One Personal Recommendation Algorithm Based on Collaborative Filtering and Network Structure |
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| LIU Zhao-xing,ZHANG Ning,LI Ji-ming. One Personal Recommendation Algorithm Based on Collaborative Filtering and Network Structure[J]. , 2011, 8(2): 45-50 |
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| Authors: | LIU Zhao-xing ZHANG Ning LI Ji-ming |
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| Affiliation: | LIU Zhao-xing,ZHANG Ning,LI Ji-ming(Business school,University of Shanghai for Science and Technology,Shanghai 200093,China) |
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| Abstract: | In this paper,we integrated classical collaborative filtering algorithm and network-based personal recommendation algorithm.The similarity between one item and any other items in this recommendation system is viewed as the initial recommendation resource of this item in this system.It will be redistributed to other items by taking bipartite network structure into account.The improved method is gained after the consideration of the relationship of two items.Then,uncollected items with redistributed resource ... |
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| Keywords: | collaborative filtering user similarity item similarity user-item bipartite network structure personal recommendation |
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