Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, Krzysztof Ciesielski, Michał Dramiński, Dariusz Czerski:
Map-Based Recommendation of Hyperlinked Document Collections.
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.
URL:
http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2006-080
@inproceedings{REWERSE-RP-2006-080,
author = {Mieczys\law A. K\lopotek and S\lawomir T. Wierzchoń and Krzysztof Ciesielski and Micha\l Dramiński and Dariusz Czerski},
title = {Map-Based Recommendation of Hyperlinked Document Collections},
booktitle = {Proceedings of 7th International Conference on Electronic Commerce and Web Technologies, Krakow, Poland (5th--8th September 2006)},
year = {2006},
volume = {4082},
organization = {DEXA},
series = {LNCS},
pages = {1--10},
url = {http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2006-080}
}