RichVSM: EnRiched Vector Space Models for Folksonomies
Published in In the proceedings of Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, 2009
Recommended citation: Rabeeh Abbasi, Steffen Staab, "RichVSM: EnRiched Vector Space Models for Folksonomies." In the proceedings of Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, 2009. https://doi.org/10.1145/1557914.1557952
People share millions of resources (photos, bookmarks, videos, etc.) in Folksonomies (like Flickr, Delicious, Youtube, etc.). To access and share resources, they add keywords called tags to the resources. As the tags are freely chosen keywords, it might not be possible for users to tag their resources with all the relevant tags. As a result, many resources lack sufficient number of relevant tags. The lack of relevant tags results into sparseness of data, and this sparseness of data makes many relevant resources unsearchable against user queries.