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paran_semester_projects:heoyunhee [2016/06/20 19:53] hkimscilparan_semester_projects:heoyunhee [2016/06/20 20:00] hkimscil
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-====== References ======+====== HYH's project page ====== 
 + 
 +===== Social Network Analysis =====
   * [[:social_network_analysis|Social Network Analysis]]   * [[:social_network_analysis|Social Network Analysis]]
   * Clustering analysis    * Clustering analysis 
-  * Recommendation system 혹은 Recommender system +===== Recommendation system 혹은 Recommender system ===== 
-    * 소개 +  * 소개 
-      * [[wp>Recommender_system|Recommendation System]] 위키페이지 소개 페이지 +    * [[wp>Recommender_system|Recommendation System]] 위키페이지 소개 페이지 
-    * 기술관련 +  * 기술관련 
-      * [[https://www.coursera.org/learn/recommender-systems|A Coursera Course]] - 클래스 들을 수 있나 리소스 체크할 것 +    * [[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]] +    * [[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 +    * [[http://www.ibm.com/developerworks/library/os-recommender1/|Recommender systems, Part 1]] IBM Developer's work 
-      * [[:making_recommendation|Correlation 방법을 이용한 Python 예제]] +    * [[:making_recommendation|Correlation 방법을 이용한 Python 예제]] 
-    * 리딩 +  * 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  +    * {{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 +    * [[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 +  * Books 
-      * [[https://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R|Data Mining Algorithms In R]] +    * [[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]] +    * Jannach, Dietmar. (2011). Recommender systems: An introduction. New York: Cambridge University Press. [[amazon>0521493366]] 
-      * Gorakala, Suresh K., Usuelli, Michele. (2015). Building a Recommendation System with R: Amazon Digital Services LLC. [[amazon>1783554495]] +    * 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]] +    * 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]]+    * Agarwal, Deepak K., Chung-Chen, Bee. (2016). Statistical methods for recommender systems. New York, NY: Cambridge University Press. [[amazon>1107036070]] 
 +</WRAP>
  
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 +[[https://www.youtube.com/watch?v=gnlq-1Zjh2M&list=PLnnr1O8OWc6ZYcnoNWQignIiP5RRtu3aS|Clips]] at Youtube \\
 +{{youtube>TSv6eLAOt78  }}
 +</WRAP>
 </WRAP> </WRAP>
  
paran_semester_projects/heoyunhee.txt · Last modified: 2016/06/21 12:45 by hkimscil

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