DocumentCode :
3276631
Title :
Introduction of the website importance into the evaluation of the prior probability of relevance of web page
Author :
Hammache, Arezki ; Ahmed-Ouamer, Rachid ; Boughanem, Mohand
Author_Institution :
Dept. of Comput. Sci., Univ. of Tizi-Ouzou, Tizi-Ouzou, Algeria
fYear :
2010
fDate :
3-5 Oct. 2010
Firstpage :
77
Lastpage :
81
Abstract :
Usually, user accesses to information on the web using search engines. However, a significant factor, which is the quality of the restored documents, is underestimated by most of these engines. This is due to not taking into account all dimensions of a web document during the indexing and retrieval process. In recent years, language models have been proposed on Information Retrieval and increased in popularity, due to their simplicity, clear probabilistic meaning. In addition these models offer possibility of integrating a priori document information. Several features have been used to estimate the prior probability of a document such as: document length. However these features depend only on the document. A web page is part of website. The idea that we explore in this article is to use website features which contains the concerned page to estimate the page prior.
Keywords :
Web sites; information retrieval; probability; Web document; Web page; Website importance; information retrieval; language models; prior probability; priori document information; Computational modeling; Hidden Markov models; Mathematical model; Probabilistic logic; Smoothing methods; Web pages; Document Prior; Language Models; Web Information Retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine and Web Intelligence (ICMWI), 2010 International Conference on
Conference_Location :
Algiers
Print_ISBN :
978-1-4244-8608-3
Type :
conf
DOI :
10.1109/ICMWI.2010.5647831
Filename :
5647831
Link To Document :
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