[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