====== Recommender system ======
===== Intro =====
OR [[:recommendation system]] \\
[[https://www.youtube.com/watch?v=gnlq-1Zjh2M&list=PLnnr1O8OWc6ZYcnoNWQignIiP5RRtu3aS|Clips]] at Youtube \\
{{ youtube>TSv6eLAOt78|Netflix example}} \\
* 소개
* [[wp>Recommender_system|Recommendation System]] 위키페이지 소개 페이지
* 기술관련
* [[https://www.coursera.org/learn/recommender-systems|A Coursera Course]] - 클래스 들을 수 있나 리소스 체크할 것
* [[https://www.toptal.com/algorithms/predicting-likes-inside-a-simple-recommendation-engine|Predicting Likes: Inside A Simple Recommendation Engine's Algorithms]]
* [[http://www.ibm.com/developerworks/library/os-recommender1/|Recommender systems, Part 1]] IBM Developer's work
* [[:making_recommendation|Correlation 방법을 이용한 Python 예제]]
* 리딩
* {{https://www.aaai.org/Papers/Workshops/1998/WS-98-08/WS98-08-029.pdf|Clustering Methods for Collaborative Filtering}} PDF file. \\ Recommendation system = Collaborative filtering
* [[http://www.slideshare.net/maiyaporn/food-recommendation-system-using-clustering-analysis-for-diabetic-patients|Food Recommendation System Using Clustering Analysis for Diabetic patients]] PPT
* Books
* [[https://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R|Data Mining Algorithms In R]]
* Jannach, Dietmar. (2011). Recommender systems: An introduction. New York: Cambridge University Press. [[amazon>0521493366]]
* [[http://www.recommenderbook.net/teaching-material/slides|Slide material]]
* Gorakala, Suresh K., Usuelli, Michele. (2015). Building a Recommendation System with R: Amazon Digital Services LLC. [[amazon>1783554495]]
* Segaran, Toby. (2007). Programming collective intelligence: Building smart web 2.0 applications (1st ed.). CA: Sebastapol O'Reilly. [[amazon>0596529325]]
* Agarwal, Deepak K., Chung-Chen, Bee. (2016). Statistical methods for recommender systems. New York, NY: Cambridge University Press. [[amazon>1107036070]]
===== Ways that it works =====
{{:szeged.pdf}} at http://www.recommenderbook.net/media/szeged.pdf
* Collaborative filtering
* Content-based filtering
* Knowledge-based recommenders
* Hybrid Systems
===== Blackboard =====
^ 영화 ^ Youngsan ^ Hansan ^ Dosan ^ Rasan ^
^ A | | | | |
^ B | | | | |
^ C | | | | |
^ D | | | | |
^ E | | | | |
^ 영화 ^ Youngsan ^ Hansan ^ Dosan ^ Rasan ^ X1 ^ X2 ^
^ A | | | | | | |
^ B | | | | | | |
^ C | | | | | | |
^ D | | | | | | |
^ E | | | | | | |