A Microblog Recommendation Algorithm Based on Multi-tag Correlation

被引：9
|
作者：
Ma, Huifang [1 ,2 ]
Jia, Meihuizi [1 ]
Xie, Meng [1 ]
Lin, Xianghong [1 ]
机构：
[1] Northwest Normal Univ, Coll Comp Sci & Engn, Lanzhou 730070, Gansu, Peoples R China
[2] Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 10085, Peoples R China
来源：
KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, KSEM 2015 | 2015年 / 9403卷
关键词：
Microblog recommendation; Tag retrieval; User-Tag weight; Tag correlation;
D O I：
10.1007/978-3-319-25159-2_43
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present a microblog recommendation algorithm based on multi-tag correlation. Firstly, a tag retrieval strategy is designed to add tags for unlabeled users, the initial user-tag matrix is then constructed and user-tag weights are set. In order to represent user interests accurately, we fully investigate the associations between the tags. Both inner and outer correlation between tags are defined to conquer the problem of sparsity of user-tag matrix. The user interests can then be decided and microblogs can be recommended to users. Experimental results show that the algorithm is effective for microblog recommendation.
引用
收藏
页码：483 / 488
页数：6
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