Title :
An Enhanced Adaboost Algorithm for Information Recommendation System
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Social network site is now becoming one of the most popular applications, almost everyone has his own social network account, information recommendation is one of the key technologies in today´s data mining field. According to user´s features, auto classification is the key to this problem. The users has many different features, based on statistics, this paper proposed a new way to recognize the user´s feature. Also This paper proposed a new way to recommend information based on the enhanced adaboost algorithm. The efficiency is apparently improved, and the Acceptance of user has reached eighty percent, It could be used in many areas with high value.
Keywords :
data mining; recommender systems; social networking (online); statistical analysis; data mining; enhanced adaboost algorithm; information recommendation system; social network site; statistics; Classification algorithms; Data mining; Databases; Educational institutions; Games; Social network services; Training; data mining; enhanced adaboost; information recommendation; social network;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1085-8
DOI :
10.1109/ISCID.2011.186
