The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, ...
People often find useful content on the web via social media. However, it is difficult to manually aggregate the information and recommendations embedded in a torrent of social ...
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
—This paper describes a unified data model that represents multimedia, timeline, and simulation data utilizing a single set of related data modeling constructs. A uniform model f...
Finding out about a topic online can be time consuming. It involves visiting multiple news sites, encyclopedia entries, video repositories and other resources while discarding irr...
Francisco Iacobelli, Kristian J. Hammond, Larry Bi...