"Learning to Rank with Multi-Aspect Relevance for Vertical Search" by Kang et al

Guy Dumais will present "Learning to Rank with Multi-Aspect Relevance for Vertical Search" by Kang et al. (http://www.xuanhui.me/pub/wsdm427-kang.pdf), which presents machine learning approaches to ranking the results of a query based on an aggregate of metrics whose combined weight is not well-defined.

While the relevance of this to people involved in machine learning or targeted search is clear, I would imagine there will be interesting discussion for anyone who has to deal with problems where heuristics are hard to come up with ahead of time.

Radialpoint have kindly offered to host the meetup this time.