The impact of bookmarks and annotations on refinding information

Refinding information has been interwoven with web activity since its early beginning. Even though all common web browsers were equipped with a history list and bookmarks early enough to facilitate this need, most users typically use search engines to refind information. However, both bookmarks and search based tools have significant limitations that impact their usability: the former are known to be hard to manage over the course of time, whereas the latter require the user to recall a specific combination of keywords or context. Most importantly, though, both are particularly inappropriate in cases where a piece of information is contained within an unstructured web page. In this paper, we present in-context annotation as a more efficient alternative to these methodologies. To verify this claim, we conducted a study in which we compare the performance of experienced users in all three approaches while revisiting specific pieces of information in the web after a long period of time. The outcomes suggest that in-context annotation clearly outperforms both traditional strategies.

Venue: HT2010

Authors: Ricardo Kawase, George Papadakis, Eelco Herder and Wolfgang Nejdl

PDF: kawase-ht2010

Leveraging multi-faceted tagging to improve search in folksonomy systems

In this paper we present ranking algorithms for folksonomy systems that exploit additional contextual information attached to tag assignments available. We evaluate the algorithms in the TagMe! system, a tagging front-end for Flickr, and show that our algorithms, which exploit categories, spatial information, and URIs describing the semantics of tag assignments, perform significantly better than the FolkRank that does not consider such contextual information.

Venue: HT2010

Authors: Fabian Abel, Ricardo Kawase and Daniel Krause

PDF: abel-ht2010