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» Learning block importance models for web pages
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WEBI
2005
Springer
14 years 1 months ago
Detecting Sequences and Cycles of Web Pages
Cycle detection in graphs and digraphs has received wide attention and several algorithms are available for this purpose. While the web may be modeled as a digraph, such algorithm...
B. Lakshmi Narayan, Sankar K. Pal
EKAW
2004
Springer
14 years 28 days ago
Semantic Webs for Learning: A Vision and Its Realization
Abstract. Augmenting web pages with semantic contents, i.e., building a ‘Semantic Web’, promises a number of benefits for web users in general and learners in particular. Seman...
Arthur Stutt, Enrico Motta
WWW
2005
ACM
14 years 1 months ago
Finding the boundaries of information resources on the web
In recent years, many algorithms for the Web have been developed that work with information units distinct from individual web pages. These include segments of web pages or aggreg...
Pavel Dmitriev, Carl Lagoze, Boris Suchkov
ICCSA
2009
Springer
14 years 2 months ago
Learning and Predicting Key Web Navigation Patterns Using Bayesian Models
Abstract. The accurate prediction of Web navigation patterns has immense commercial value as the Web evolves into a primary medium for marketing and sales for many businesses. Ofte...
Malik Tahir Hassan, Khurum Nazir Junejo, Asim Kari...
WWW
2007
ACM
14 years 8 months ago
Web projections: learning from contextual subgraphs of the web
Graphical relationships among web pages have been leveraged as sources of information in methods for ranking search results. To date, specific graphical properties have been used ...
Jure Leskovec, Susan T. Dumais, Eric Horvitz