Automatic generation of web portals using artificial ants

Authors:
Hanene Azzag;Gilles Venturini;Christiane Guinot
Affiliations:
Polytech Tours, Tours, France;Polytech Tours, Tours, France;CE.R.I.E.S, Neuilly sur Seine Cédex, France
Venue:
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Year:
2005

Citing 3
Cited 0

Term-weighting approaches in automatic text retrieval

Information Processing and Management: an International Journal
Deriving concept hierarchies from text

Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Automating the Construction of Internet Portals with Machine Learning

Information Retrieval

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Abstract

We present in this work a new model (named AntTree) based on artificial ants for document hierarchical clustering. This model is inspired from the self-assembly behavior of real ants. We have simulated this behavior to build a hierarchical tree-structured partitioning of a set of documents, according to the similarities between these documents. We have successfully compared our results to those obtained by ascending hierarchical clustering.