In this paper, we propose to model the blended search problem by assuming conditional dependencies among queries, VSEs and search results. The probability distributions of this mo...
With the advent of the Web, search has become the prominent paradigm for information seeking, not only across the online space but also within enterprises. Search engine functiona...
Alessandro Bozzon, Marco Brambilla, Piero Fraterna...
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
Access to large numbers of data sources introduces new problems for users of heterogeneous distributed databases. End users and application programmers must deal with unavailable ...
Anthony Tomasic, Louiqa Raschid, Patrick Valduriez
Discovering users' specific and implicit geographic intention in web search can greatly help satisfy users' information needs. We build a geo intent analysis system that...