Fab: Content-based, collaborative recommendation

被引:1548
作者
Balabanovic, M
Shoham, Y
机构
[1] STANFORD UNIV,ROBOT LAB,STANFORD,CA 94305
[2] STANFORD UNIV,AI DIV,STANFORD,CA 94305
关键词
D O I
10.1145/245108.245124
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
By combining both collaborative and content-based filtering systems, Fab may eliminate many of the weaknesses found in each approach.
引用
收藏
页码:66 / 72
页数:7
相关论文
共 11 条
[1]  
[Anonymous], 1995, C HUM FACT COMP SYST
[2]  
[Anonymous], 1994, P 1994 ACM C COMP SU
[3]  
BUCKLEY C, 1995, P 18 ANN INT ACM SIG
[4]  
HARMAN D, 1994, P 3 TEXT RETR C GAIT
[5]  
Krulwich B., 1996, P AAAI SPRING S MACH
[6]  
Lang K., 1995, P 12 INT MACH LEARN
[7]  
SHETH B, 1993, P 9 IEEE C ART INT A
[8]  
YAO YY, 1995, J AM SOC INFORM SCI, V46, P133, DOI 10.1002/(SICI)1097-4571(199503)46:2<133::AID-ASI6>3.0.CO
[9]  
2-Z
[10]  
[No title captured]