Enhancement in Weighted PageRank Algorithm Using VOL

Tuteja, Sonal

doi:10.9790/0661-145135141

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…earlier published papers usually have numerous citations than that of recently published papers, so considering number of years is also found important) (Fiala, 2012;Shen, 1993), link popularity (Liu et al, 2012;Daud et al, 2017), number of visits of links (i.e. number of times a link is visited) (Agarwal and Agarwal, 2013;Tuteja, 2013;Tyagi and Sharma, 2012) and semantically similar cue words of uncertainty (Chen et al, 2018). Citations are considered to be a popular source for measuring the prestige of webpages.…”

Section: Introductionmentioning

confidence: 99%

Correlational analysis of topic specificity and citations count of publication venues

Daud

Amjad

Siddiqui

et al. 2019

LHT

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Purpose Citation analysis is an important measure for the assessment of quality and impact of academic entities (authors, papers and publication venues) used for ranking of research articles, authors and publication venues. It is a common observation that high-level publication venues, with few exceptions (Nature, Science and PLOS ONE), are usually topic specific. The purpose of this paper is to investigate the claim correlation analysis between topic specificity and citation count of different types of publication venues (journals, conferences and workshops). Design/methodology/approach The topic specificity was calculated using the information theoretic measure of entropy (which tells us about the disorder of the system). The authors computed the entropy of the titles of the papers published in each venue type to investigate their topic specificity. Findings It was observed that venues usually with higher citations (high-level publication venues) have low entropy and venues with lesser citations (not-high-level publication venues) have high entropy. Low entropy means less disorder and more specific to topic and vice versa. The input data considered here were DBLP-V7 data set for the last 10 years. Experimental analysis shows that topic specificity and citation count of publication venues are negatively correlated to each other. Originality/value This paper is the first attempt to discover correlation between topic sensitivity and citation counts of publication venues. It also used topic specificity as a feature to rank academic entities.

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Section: Introductionmentioning

confidence: 99%

Correlational analysis of topic specificity and citations count of publication venues

Daud

Amjad

Siddiqui

et al. 2019

LHT

View full text Add to dashboard Cite

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“…Tuteja's study in [12] was based on user behaviors in order to enhance the weighted PageRank Algorithm by considering a term Visits of Links (VOL) done by the end of 2013. This research idea was presented as modifying the standard Weighted PageRank algorithm by incorporating Visits of Links.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Hybrid Usage-Based Ranking Algorithm for Arabic Search Engines

Hajeer

Ismail

Badr

et al. 2015

Computational Science and Its Applications -- ICCSA 2015

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Abstract. There are billions of web pages available on the Internet. Search Engines always have a challenge to find the best ranked list to the user's query from those huge numbers of pages. A lot of search results that correspond to a user's query are not relevant to the user's needs. Most of the page ranking algorithms use Linkbased ranking (web structure) or Content-based ranking to calculate the relevancy of the information to the user's need, but those ranking algorithms might be not enough to provide a good ranked list for the Arabic search. So, in this paper we proposed an efficient Arabic information retrieval system using a new hybrid usage-based ranking algorithm called EHURA. The objective of this algorithm is to overcome the drawbacks of the ranking algorithms and improve the efficiency of web searching. EHURA was applied to 242 Arabic Corpus to measure its performance. The result shows our proposed EHURA algorithm improves the precision over the Content-Based ranking algorithm representation, as well as the recall is affected too in this improvement. IntroductionThe amount of information in the world is increasing exponentially through the years. Searching within this huge amount of information becomes a critical behavior of our life. Millions of users interact with search engines daily around the globe; more than 360 of them are Arab ones [1,2]. Recently, due to the growing number of internet users around the world, information retrieval (IR) has become of great importance as an essential tool for all tasks of searching on the web. The number of Arab Internet users has increased recursively over the years because of the changes in the requirements of the life. Relatively fewer Arabic search engines are currently available despite the enormous efforts to satisfy the needs of the growing number of Arabic internet users. Moreover, Arabic is a highly inflected language and has a complex morphological structure, which makes information retrieval on Arabic texts a challenge [3].Most of existing web search engines often calculate the relevancy of web pages for a given query by counting the search keywords contained in the web pages, this

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