Title :
Web Page Classification Using Social Tags
Author :
Aliakbary, Sadegh ; Abolhassani, Hassan ; Rahmani, Hossein ; Nobakht, Behrooz
Author_Institution :
Sharif Univ. of Technol., Iran
Abstract :
Social tagging is a process in which many users add metadata to a shared content. Through the past few years, the popularity of social tagging has grown on the Web. In this paper we investigated the use of social tags for Web page classification: adding new Web pages to an existing Web directory. A Web directory is a general human-edited directory of Web pages. It classifies a collection of pages into a wide range of hierarchical categories. The problem with manual construction and maintenance of Web directories is the significant need of time and effort by human experts. Our proposed method is based on applying different automatic approaches of using social tags for extending Web directories with new URLs.
Keywords :
Internet; classification; information retrieval; social networking (online); URL; Web directory maintenance; Web page classification; meta data; social tagging; Bayesian methods; Computer science; Data mining; Humans; Information resources; Organizing; Tagging; Uniform resource locators; Watches; Web pages; Classification; Social Tagging; Web Directory;
Conference_Titel :
Computational Science and Engineering, 2009. CSE '09. International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-5334-4
Electronic_ISBN :
978-0-7695-3823-5
DOI :
10.1109/CSE.2009.411