Today, with rapid growth of the World Wide Web and creation of Internet sites and online text resources, text summarization issue is highly attended by various researchers. Extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. When, we are facing into large data volume documents, the extr...

An investigation of students taking online classes exposed crucial student perceptions important to their selecting online/web-assisted courses. An exploratory factor analysis provided three factors of “convenience,” “enjoyment & independence,” and “no other option available” as motivations for students taking online/web-assisted courses. Positive correlations were identified linking the person...

Through advancing new technology, perspective of museum institution and museum profession is changed. The content analysis and analyze of used terminology by online users will show us which term is the most used between frequently used terms such are: online, electronic, Web, Internet, digital, virtual and cyber museums. This scientific paper suggests that online users don't differ mentioned te...

Understanding online user behavior is essential for designing user-friendly consumer health Web sites. Transaction log analysis (TLA) provides a way to extract aggregate data about online behavior. This paper describes prevalent user navigation trends using TLA methods at ClinicalTrials.gov. Preliminary results suggest that users typically access low-level pages directly from Web-based search e...

As part of research into Web-based document analysis including Web page downloading and classification, an algorithm has been developed to automatically identify article links in Web-based online journals. This algorithm is based on feature vectors calculated from attributes and contents of links extracted from HTML files, and an instancebased learning algorithm using a nearest neighbor methodo...

This chapter focuses on recommender systems based on the coherent user’s browsing patterns. Biclustering approach is used to discover the aggregate usage profiles from the preprocessed Web data. A combination of Discrete Artificial Bees Colony Optimization and Simulated Annealing technique is used for optimizing the aggregate usage profiles from the preprocessed clickstream data. Web page recom...