We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
Except for a handful of "mobile" Web sites, the Web is designed for browsing with personal computers with large screens capable of fitting the content of most Web pages....
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
In this poster, we present an information extraction engine for web-based forums. The engine analyzes the HTML files crawled from web forums, deduces the wrapper (template) of the...
Hanny Yulius Limanto, Nguyen Ngoc Giang, Vo Tan Tr...