The field of automatic genre classification has primarily focused on extracting textual features from documents. The goal of this research is to investigate whether visual feature...
In this paper, we describe a set of experiments to examine the effect of various attributes of web genre on the automatic identification of the genre of web pages. Four different ...
Lei Dong, Carolyn R. Watters, Jack Duffy, Michael ...
The research reported in this paper is the first phase of a larger project on the automatic classification of web pages by their genres, using ngram representations of the web pag...
The paper presents an approach to combine knowledge from memory and brain sciences with information retrieval research in the design of Web agents. An information retrieval agent f...
This paper presents experiments on classifying web pages by genre. Firstly, a corpus of 1539 manually labeled web pages was prepared. Secondly, 502 genre features were selected ba...