Collaborative Filtering Recommendation Technology Based on Genetic Algorithm

Article Preview

Abstract:

-In the current intelligent algorithm recommendation systems, collaborative filtering recommendati

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1446-1452

Citation:

Online since:

August 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Cong Li, Changyong Liang. Cold starting eliminating method based on N-sequence analytical logic collaborative filtering [J]. Systems engineering theory&Practice, 2012, 32(7): 1537-1545.

Google Scholar

[2] Dongyan Jia, Fuzhi Zhang. Collaborative Filtering Recommendation Algorithm based ondouble neighbor selection strategy [J]. Research and development of computer, 2013, 50(5): 1076-1084.

Google Scholar

[3] Yajun Leng, Changyong Liang, Yong Ding et. An efficient nearest neighbor selecting method of collaborative filtering [J].Pattern recognition and artificial intelligence,2013(10):968-974.

Google Scholar

[4] Li Yu, Lu Liu, Xuefeng Li. Recommendation Algorithm Research on personalized user interests [J]. Computer integrated manufacturing system, 2004, 10(12): 1610- 1615.

Google Scholar

[5] Ying Li, Yongli Li, Guanyang Cai. Collaborative filtering algorithm based on nearest neighbor search double threshold[J]. Journal of Jilin Univesity(Information Science Edition), Nov 2013, 31(6).

Google Scholar

[6] Huigui Rong, Shengxu Huo, Chunhua Hu, Jinxia Mo. Collaborative filtering recommendation algorithm based on user similarity[J]. Journal on Communications, Feb 2014, 35(2).

Google Scholar

[7] Yu Peng, Xiaoping Cheng. Collaborative filtering algorithm based on attribute similarity of Item-base [J]. Computer engineering and Applications, 2007, 43(14):144-147.

Google Scholar

[8] Bobadilla, J (Bobadilla, Jesus); Ortega, F (Ortega, Fernando); Hernando, A (Hernando, Antonio); Alcala, J (Alcala, Javier). Improving collaborative filtering recommender system results and performance using genetic algorithms. Knowledge-based Systems, 2001, 24(8): 1310-1316.

DOI: 10.1016/j.knosys.2011.06.005

Google Scholar

[9] Ahn, HJ (Ahn, Hyung Jun). A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem[J]. INFORMATION SCIENCES, JAN, 2008, 178(1): 37-51.

DOI: 10.1016/j.ins.2007.07.024

Google Scholar

[10] ZD ZHAO, MS SHANG. User-based collaborative-filtering recommendation algorithms on hadoop[A]. Knowledge Discovery and Data Mining, WKDD'10 Third International Conference on IEEE[C]. 2010. 478-481.

DOI: 10.1109/wkdd.2010.54

Google Scholar