Clustering approach based on feature weighting for recommendation system in movie domain
The advancement of the Internet has brought us into a world that represents a huge amount of information items such as movies, web pages, etc. with fluctuating quality. As a result of this massive world of items, people get confused and the question “Which one should I select?” arises in their minds...
Saved in:
主要作者: | Nabizadeh Rafsanjani, Amir Hossein |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2013
|
主题: | |
在线阅读: | http://eprints.utm.my/id/eprint/35827/5/AmirHosseinNabizadehMFSKSM2013.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Decision framework on selecting the optimal subjective weighting method for evaluating e-learning approaches
由: Mohammed, Husam Jasim
出版: (2018) -
Secure on-demand routing protocol in wireless sensor networks based on route weight and knowledge sharing
由: Farrokhtala, Ali
出版: (2013) -
Discriminant analysis of multi sensor data fusion based on percentile forward feature selection
由: Maz Jamilah, Masnan
出版: (2017) -
A new feature extraction algorithm for overlapping leaves of rubber tree
由: Anjomshoae, Sule
出版: (2014) -
Job scheduling approaches based on firefly algorithm for computational grid
由: Aboalgassim Alfaki, Adil Yousif
出版: (2013)