Number of items: 2.
and Lerman, Kristina Constructing Folksonomies from User-Specified Relations on Flickr.
Automatic folksonomy construction from tags has attracted much attention recently. However, inferring hierarchical relations between concepts from tags has a drawback in that it is difficult to distinguish between more popular and more general concepts. Instead of tags we propose to use userspeciﬁed relations for learning folksonomy. We explore two statistical frameworks for aggregating many shallow individual hierarchies, expressed through the collection/set relations on the social photosharing site Flickr, into a common deeper folksonomy that reﬂects how a community organizes knowledge. Our approach addresses a number of challenges that arise while aggregating information from diverse users, namely noisy vocabulary, and variations in the granularity level of the concepts expressed. Our second contribution is a method for automatically evaluating learned folksonomy by comparing it to a reference taxonomy, e.g., the Web directory created by the Open Directory Project. Our empirical results suggest that user-speciﬁed relations are a good source of evidence for learning folksonomies.
and Pantel, Patrick
and Popescu, Ana-Maria
and Gabrilovich, Evgeniy Towards Intent-Driven Bidterm Suggestion.
In online advertising, pervasive in commercial search engines, advertisers typically bid on few terms, and the scarcity of data makes ad matching difficult. Suggesting additional bidterms can signiﬁcantly improve ad clickability and conversion rates. In this paper, we present a large-scale bidterm suggestion system that models an advertiser’s intent and ﬁnds new bidterms consistent with that intent. Preliminary experiments show that our system signiﬁcantly increases the coverage of a state of the art production system used at Yahoo while maintaining comparable precision.
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We (Southampton EPrints Project) intend to preserve the files and HTML pages of this site for many years, however we will turn it into flat files for long term preservation. This means that at some point in the months after the conference the search, metadata-export, JSON interface, OAI etc. will be disabled as we "fossilize" the site. Please plan accordingly. Feel free to ask nicely for us to keep the dynamic site online longer if there's a rally good (or cool) use for it... [this has now happened, this site is now static]