Neighborhood-Based Tag Prediction.
ESWC, volume 5554 of Lecture Notes in Computer Science, page 608-622. Springer, (2009)Abstract
We consider the problem of tag prediction in collaborative
tagging systems where users share and annotate resources on the Web.
We put forward HAMLET, a novel approach to automatically propa-
gate tags along the edges of a graph which relates similar documents.
We identify the core principles underlying tag propagation for which
we derive suitable scoring models combined in one overall ranking for-
mula. Leveraging these scores, we present an efficient top-k tag selection
algorithm that infers additional tags by carefully inspecting neighbors
in the document graph. Experiments using real-world data demonstrate
the viability of our approach in large-scale environments where tags are
scarce.
Description
dblp
