XHITS: LEARNING TO RANK IN A HYPERLINKED STRUCTURE

Francisco Benjamim Filho; Raúl Pierre Renteria; Ruy Luiz Milidiú

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Paper

XHITS: LEARNING TO RANK IN A HYPERLINKED STRUCTURE

Topics: Information Extraction; Machine Learning; Web Mining

In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 0IC3K, 377-381, 2011 , Paris, France

Authors: Francisco Benjamim Filho ; Raúl Pierre Renteria and Ruy Luiz Milidiú

Affiliation: Pontifícia Universidade Católica do Rio de Janeiro, Brazil

Keyword(s): Search engines, Keyword-based ranking, Link-based ranking.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems ; Web Mining

Abstract: The explosive growth and the widespread accessibility of the Web has led to a surge of research activity in the area of information retrieval on the WWW. This is a huge and rich environment where the web pages can be viewed as a large community of elements that are connected through links due to several issues. The HITS approach introduces two basic concepts, hubs and authorities, which reveal some hidden semantic information from the links. In this paper, we review the XHITS, a generalization of HITS, which expands the model from two to several concepts and present a new Machine Learning algorithm to calibrate an XHITS model. The new learning algorithm uses latent feature concepts. Furthermore, we provide some illustrative examples and empirical tests. Our findings indicate that the new learning approach provides a more accurate XHITS model.

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Paper citation in several formats:

Benjamim Filho, F.; Pierre Renteria, R. and Luiz Milidiú, R. (2011). XHITS: LEARNING TO RANK IN A HYPERLINKED STRUCTURE. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR; ISBN 978-989-8425-79-9; ISSN 2184-3228, SciTePress, pages 377-381. DOI: 10.5220/0003632503850389

@conference{kdir11,
author={Francisco {Benjamim Filho}. and Raúl {Pierre Renteria}. and Ruy {Luiz Milidiú}.},
title={XHITS: LEARNING TO RANK IN A HYPERLINKED STRUCTURE},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR},
year={2011},
pages={377-381},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003632503850389},
isbn={978-989-8425-79-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR
TI - XHITS: LEARNING TO RANK IN A HYPERLINKED STRUCTURE
SN - 978-989-8425-79-9
IS - 2184-3228
AU - Benjamim Filho, F.
AU - Pierre Renteria, R.
AU - Luiz Milidiú, R.
PY - 2011
SP - 377
EP - 381
DO - 10.5220/0003632503850389
PB - SciTePress