Abstract
The increasing number of documents returned by search engines for typical requests makes it necessary to look for new methods of representation of the search results.
In this paper, we discuss the possibility to exploit incremental, navigational maps based both on page content, hyperlinks connecting similar pages and ranking algorithms (such as HITS, SALSA, PHITS and PageRank) in order to build visual recommender system. Such system would have an immediate impact on business information management (e.g. CRM and marketing, consulting, education and training) and is a major step on the way to information personalization.
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Kłopotek, M.A., Wierzchoń, S.T., Ciesielski, K., Dramiński, M., Czerski, D. (2006). Map-Based Recommendation of Hyperlinked Document Collections. In: Bauknecht, K., Pröll, B., Werthner, H. (eds) E-Commerce and Web Technologies. EC-Web 2006. Lecture Notes in Computer Science, vol 4082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11823865_1
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DOI: https://doi.org/10.1007/11823865_1
Publisher Name: Springer, Berlin, Heidelberg
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