A Survey on Tag Recommendation Techniques using Text Mining.

被引:0
作者
Vijay, K. [1 ]
Monisha, S. [1 ]
机构
[1] Sathyabama Univ, Fac Comp, Dept Informat Technol, Madras, Tamil Nadu, India
来源
RESEARCH JOURNAL OF PHARMACEUTICAL BIOLOGICAL AND CHEMICAL SCIENCES | 2016年 / 7卷 / 04期
关键词
Tag recommendation; Book marking; social networking; collaborative filtering; Term Frequency-Inverse Document Frequency;
D O I
暂无
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In the environment of World Wide Web (WWW) bookmark is used through Uniform Resource Identifier (URI) accessed and that is stored for the future references in many formats, the bookmarking is a centralized service from which the users can add, delete, view and organize more information. It also includes of tagging of the text, and also provides the benefits of book marking to the users. It can be classified into two types: 1.Public, 2.Private. Public bookmarking user can be viewed by all the users on the web whereas private bookmarking is only accessed by the particular person who has eligible to access the bookmarking. The tag recommendation is also a method used in bookmarking which is predicting the tags for a given user and item, based on the past user behavior. Parental control systems provide a form of authentication to prevent from unauthorized users from disabling it.
引用
收藏
页码:3040 / 3043
页数:4
相关论文
共 7 条
[1]  
Bogers Toine, 2008, SOC INF 4 INT C, P1
[2]   Tag-Based Collaborative Filtering Recommendation in Personal Learning Environments [J].
Chatti, Mohamed Amine ;
Dakova, Simona ;
Thues, Hendrik ;
Schroeder, Ulrik .
IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 2013, 6 (04) :337-349
[3]   An intelligent knowledge sharing strategy featuring item-based collaborative filtering and case based reasoning [J].
Chedrawy, Z ;
Abidi, SSR .
5th International Conference on Intelligent Systems Design and Applications, Proceedings, 2005, :67-72
[4]  
Djuana Endang, 2014, 47 HAW INT C SYST SC, P906
[5]  
Guo Linke, 2013, INT C COMM CHIN ICCC, P230
[6]  
Krestel Ralf, 2008, P ECML PKDD DISC CHA, P39
[7]  
Yagnik S., 2014, INT J DATA MIN KNOWL, V4, P19