We present initial results from a project, in which we examined feasibility of inferring web page relevance from eye-tracking data. We conduced a controlled, lab-based Web search experiment, in which participants conducted assigned information search tasks on Wikipedia. We performed analyses of variance as well as employed classification algorithms in order to predict user perceived Web page re...

As the use of web applications increases, when users use search engines for finding some information by inputting keywords, the number of web pages that match the information increases at a tremendous rate. It is not easy for a user to retrieve the exact web page which contains information he or she requires. In this paper, an approach to web page retrieval system using the hybrid combination o...

We suggest that diversity and changes in the visual design of web pages exhibit trend-like characteristics. We begin with a survey of the fashion and trends literature to clarify these terms and to relate them to the domain of web design. Based on freely available online archival data we assembled a website design trend library that includes 42 trends encompassing the period from the mid-1990s ...

Now-a-days the web based information is increasing day-by-day. As the number of internet users and the number of web document grows, it is difficult for users to find the documents that are relevant to their particular needs.In Recent years semantic web search is not considering semantic relations between words in traditional Machine Learning algorithms. Previous works on ontology-based semanti...

Currently, in web page classification, Absolute Weighting Method is a common method to weight HTML main structure features. The disadvantage of the method is that weighting coefficient is a fixed value, which has different effects on the long and short text. So the influence of structure features on local text will be weakened with the length of local text increasing. To solve the problem, we p...

With the rapid growth of information on the World Wide Web (WWW), classification of web documents has become important for efficient information retrieval. Relevancy of information retrieved can also be improved by considering semantic relatedness between words which is a basic research area in fields of natural language processing, intelligent retrieval, document clustering and classification,...

As the use of web applications increases, when users use search engines for finding some information by inputting keywords, the number of web pages that match the information increases at a tremendous rate. It is not easy for a user to retrieve the exact web page which contains information he or she requires. In this paper, an approach to web page retrieval system using the hybrid combination o...