Web genre classification via hierarchical multi-label classification
Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski and Dragi Kocev
In this paper, the web genres labels are exploited by constructing a hierarchy of web genres and then use methods for hierarchical multi-label classification to boost the predictive performance. Two methods for hierarchy construction: expert-based and data-driven are used.