Web-page re-ranking plays an important role in Web systems. Satisfactory and Useful knowledge discovery from Web usage data representation for effective Webpage recommendations are challenging and crucial. This paper proposes a novel method to efficiently provide better Web-page recommendation through semantic-enhancement by integrating the Web usage knowledge and domain. A number of effective ...

The extraordinary growth in both the size and popularity of the World Wide Web has created a growing interest not only in identifying Web page genres, but also in using these genres to classify Web pages. The hypothesis of this research is that an n-gram representation of a Web page can be used effectively to automatically classify that Web page by genre. This research involves the development ...

Our web user prooles consist of Page Interest Estimators (PIE's) and Web Access Graphs (WAG's). We discuss a non-invasive approach to estimating the user's interest of a web page without directly asking the user. A time and space eecient method is proposed for locating multi-word phrases to enrich the common bag-of-words representation for text documents. PIE's are then learned to predict the u...

Extracting and processing information from web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. Common approach in the extraction process is to represent a page as a “bag of words” and then to perform additional processing on such a flat representation. In this paper we propose a new, hierarchical representation that...

Extracting and processing information from web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. Common approach in the extraction process is to represent a page as a “bag of words” and then to perform additional processing on such a flat representation. In this paper we propose a new, hierarchical representation that...