Enhanced Retrieval of Web Pages using Improved Page Rank Algorithm

Autor:	Rekha Jain, Purohit G.N, Sulochana Nathawat
Rok vydání:	2013
Předmět:	Task (computing) Information retrieval Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Web page Rank (computer programming) Process (computing) Context (language use) Page rank Algorithm Reciprocal Word (computer architecture)
Zdroj:	International Journal on Natural Language Computing. 2:59-66
ISSN:	2278-1307 2319-4111
DOI:	10.5121/ijnlc.2013.2206
Popis:	Information Retrieval (IR) is a very important and vast area. While searching for context web returns all the results related to the query. Identifying the relevant result is most tedious task for a user. Word Sense Disambiguation (WSD) is the process of identifying the senses of word in textual context, when word has multiple meanings. We have used the approaches of WSD. This paper presents a Proposed Dynamic Page Rank algorithm that is improved version of Page Rank A lgorithm. The Proposed Dynamic Page Rank algorithm gives much better results than existing Google’s Page Rank algorithm. To prove this we have calculated Reciprocal Rank for both the algorithms and presented comparative results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::90e9ba154fe5fc90e0bd6d835bb280c0 https://doi.org/10.5121/ijnlc.2013.2206 Zobrazit plný text záznamu