論文閱讀——Recommender System: Review

00 文章基本資訊

• 文章來源：International Journal of Computer Applications

• 作者：Akshita II year, M.Tech PDM College Of Engineering For Women,

  Haryana, India；Smita Associate Professor PDM College Of Engineering

  For Women, Haryana, India；

01 摘要

• This paper discuss various techniques proposed for recommendations

  including content based, collaborative based and other techniques.

• To improve performance, these methods have sometimes been combined in

  hybrid recommenders.

• It also discuss about growing area of research in the area of

  recommender systems that is mobile recommender systems.

1 INTRODUCTION

文章目的：

The recommender system is about to identify the knowledge about the similar user or the event and derive the favorable aspect based on it.

對recommander system的劃分/分類：

information retrieval systems、search engines

生成推薦清單的三種方法：

collaborative-based,content-based filtering, knowledge based.

為實作更好的推薦表現，需要結合多種不同的推薦方法：

One common thread in recommender systems research is the need to combine recommendation techniques to achieve peak performance.

2 RECOMMENDATION TECHNIQUES

3 RECOMMENDER SYSTEM EXMPLES

4 HYBRID RECOMMENDER SYSTEM

5 MOBILE RECOMMENDER SYSTEM

6 CONCLUSION

7 REFERENCES