Usage of tagging for research paper recommendation

Tagging has become a common service on Web2.0 application. This kind of service allows users to share and annotate interesting web resources. CiteULike is an example of Web2.0 application that allows its users to share research papers based on their interest. It also allows the users to create annotations or tags attached to the research papers. This paper examined the use of tagging for research paper recommendation. A research paper recommendation mechanism based on tagging was proposed. This mechanism recommends a research paper according a set of tags they have created. The result suggested that tags created by each user could be used as a user individual profile. The profile then compared with research paper index to compute a similarity score. The result of experiment showed that the accuracy of the proposed research paper recommendation is 79% with f-measure value at 82%.