A Model Based on Cocitation for Web Information Retrieval
Author(s) -
Yue Xie,
TingZhu Huang
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/418605
Subject(s) - pagerank , ranking (information retrieval) , hyperlink , computer science , information retrieval , weighting , normalization (sociology) , web page , uniqueness , hits algorithm , data mining , search engine , world wide web , mathematics , web search engine , web search query , medicine , mathematical analysis , sociology , anthropology , radiology
According to the relationship between authority and cocitation in HITS, we propose a new hyperlink weighting scheme to describe the strength of the relevancy between any two webpages. Then we combine hyperlink weight normalization and random surfing schemes as used in PageRank to justify the new model. In the new model based on cocitation (MBCC), the pages with stronger relevancy are assigned higher values, not just depending on the outlinks. This model combines both features of HITS and PageRank. Finally, we present the results of some numerical experiments, showing that the MBCC ranking agrees with the HITS ranking, especially in top 10. Meanwhile, MBCC keeps the superiority of PageRank, that is, existence and uniqueness of ranking vectors
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