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Daniel Tunkelang blogged on WSDM-2010 conference (Feb 3-6, 2010, New York, NY).
The conference was also on Twitter: #wsdm2010
The last paper of the session proposed using anchor text as a more widely available input than query logs to support the query reformulation process. It also attracted the most audience attention - while interaction is often a niche at information retrieval conferences, it always elicits strong interest and opinions.The following session focused on tags and recommendations. Some take-aways: users produce tags similar to the topics designed by experts; individual "personomies" can be translated into aggregated folksonomies; matrix factorization methods can produce interpretable recommendations.
[a paper] which earned a best-paper nomination, modeled document relevance based not on click-through behavior, but rather on post-click user behavior. ...
Another offered a rigorous analysis of the often sloppily presented "long-tail" hypothesis: it found that light users disproportionately prefer content at the head of distribution while heavy users disproportionately prefer the tail.
Another paper analyzed Flickr and Last.fm user logs to show that users' semantic similarity based on their tagging behavior is predictive of social links. The final paper tackled the sparsity of social media tags by inferring latent topics from shared tags and spatial information.