期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：3
页码：133-144
DOI：10.14257/ijhit.2015.8.3.13
出版社：SERSC
摘要：Collaborative Filtering is of particular interest because its recommendations are based on the preferences of similar users. This allows us to overcome several key limitations. This paper explains the need for collaborative filtering, its benefits and related challenges. We have investigated several variations and their performance under a variety of circumstances. We also explored the implications of these results when weighing K Nearest Neighbor algorithm for implementation. Based on the relationship of individuals, putting forward a new incremental learning collaborative filtering recommendation system, discovery it is a better way to acquire optimum results.
关键词：social networks; collaborative filtering; k nearest neighbor algorithm
