| 基于协同过滤技术的电子商务推荐系统初探 |
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| 引用本文： | 张富国.基于协同过滤技术的电子商务推荐系统初探[J].科技广场,2006(8):7-9. |
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| 作者姓名： | 张富国 |
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| 作者单位： | 江西财经大学信息管理学院,南昌,330013 |
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| 摘 要： | 推荐系统正逐渐成为电子商务系统重要的竞争手段,而协同过滤技术是个性化推荐系统的研究热点。文章从协同过滤技术的基本原理出发,系统评述了协同过滤算法的分类、相似性计算法则、算法的性能评价等关键议题,最后指出了协同过滤技术存在的问题以及将来的研究方向。
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| 关 键 词： | 推荐系统 协同过滤 相似性 |
| 文章编号： | 1671-4792-（2006）8-0026-03 |
a Survey of E-Commerce Recommendation System Based on Collaborative Filtering |
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| Zhang Fuguo.a Survey of E-Commerce Recommendation System Based on Collaborative Filtering[J].Science Mosaic,2006(8):7-9. |
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| Authors: | Zhang Fuguo |
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| Abstract: | Recommendation system is becoming an important part of e-commerce system, and collaborativefiltering technology is a hot research topic in personalized recommendation Recommending System. This paperintroduces the principle of collaborative filtering technology, and reviews the classification, similaritycalculating rule and performance evaluating of collaborative filtering technology. Unresolved issues ofcollaborative filtering technology and research directions are pointed out finally. |
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| Keywords: | Recommendation System Collaborative Filtering Similarity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
