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A Linear Regression Model for Assessing the Ranking of Web Sites Based on Number of Visits [chapter]

Dowming Yeh, Pei-Chen Sun, Jia-Wen Lee
2004 Lecture Notes in Computer Science  
In this work, the stepwise regression method is applied to assess the ranking of web sites for two different categories. The ranking is based on the average number of visits per day.  ...  The regression analysis result shows that the regression models differ for two different categories of web sites, but there are three variables common to the two resulting models, Latest update, Broken  ...  We apply linear regression method for assessing the ranking of a web site based on the number of visits per day.  ... 
doi:10.1007/978-3-540-27834-4_6 fatcat:6d2hjyr4eraexmgyn77ujjh3wm

The Effects of Cryptocurrency Trading Websites on Airlines' Advertisement Campaigns

Damianos P. Sakas, Nikolaos T. Giannakopoulos, Dimitrios P. Reklitis, Thomas K. Dasaklis
2021 Journal of Theoretical and Applied Electronic Commerce Research  
The findings of the study indicate that engagement with cryptocurrency trading websites has a positive impact on airline websites' global ranking and visibility parameters.  ...  To this end, it can be beneficial for airlines' web promotions to link certain web analytics metrics to cryptocurrency trading site metrics.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jtaer16070169 fatcat:paumcott2jbldkplphsaq2vlki

Digital Marketing Enhancement of Cryptocurrency Websites through Customer Innovative Data Process

Damianos P. Sakas, Nikolaos T. Giannakopoulos, Nikos Kanellos, Christos Tryfonopoulos
2022 Processes  
Starting phase of the model pertains to statistical and regression analysis of cryptocurrency web analytics, followed by Fuzzy Cognitive Mapping and Agent-Based Model deployment.  ...  Research data were collected from 10 well-known cryptocurrency websites, regarding mobile and desktop devices, in 180 days, regarding on-site web analytics.  ...  Average Time on Site/month The time spent on site is calculated by dividing the duration of an average visit during a certain time period by the total number of visits over that period [59] .  ... 
doi:10.3390/pr10050960 fatcat:3gz35ixncjgdjhywugklcfqa4u

Definition of Phishing Sites Based on the Team Model of Fuzzy Neural Networks

Ilyas Idrisovich Ismagilov, Aynur Ayratovich Murtazin, Dina Vladimirovna Kataseva, Alexey Sergeevich Katasev, Andrey Igorevich Barinov
2020 Helix  
networks, and forming a fuzzy knowledge base, as well as conducting research, and assessing the accuracy of identifying phishing sites based on the constructed model.  ...  The knowledge base formed on the basis of the team model of fuzzy neural networks can be effectively used to identify phishing sites on the Internet.  ...  Acknowledgements The work is performed according to the Russian Government Program of Competitive Growth of Kazan Federal University.  ... 
doi:10.29042/2020-10-5-133-140 fatcat:wa7aeymcsrb2jbpxkiov7k6ppe

Predicting webpage credibility using linguistic features

Aleksander Wawer, Radoslaw Nielek, Adam Wierzbicki
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
The article focuses on predicting trustworthiness from textual content of webpages.  ...  We also examine coefficients of the models in order to discover words associated with low and high trust.  ...  People learn to make the use of web site specific information for assessing credibility.  ... 
doi:10.1145/2567948.2579000 dblp:conf/www/WawerNW14 fatcat:r4fij45l45bfjgqxbk4ldn7iwi

Big Data Contribution in Desktop and Mobile Devices Comparison, Regarding Airlines' Digital Brand Name Effect

Damianos P. Sakas, Nikolaos Th. Giannakopoulos
2021 Big Data and Cognitive Computing  
In the first phase of the research, we gathered web data from 10 airline firms during an observation period of 180 days.  ...  We then proceeded in developing an exploratory model using Fuzzy Cognitive Mapping, as well as a predictive and simulation model using Agent-Based Modeling.  ...  So, after having checked the correlations of selected metrics of both devices, such as total and unique visitors, bounce rates, average visit duration, we run linear regression models for the significant  ... 
doi:10.3390/bdcc5040048 fatcat:m2ghneuqanfppdcdifb5zomp6u

Online multitasking and user engagement

Janette Lehmann, Mounia Lalmas, Georges Dupret, Ricardo Baeza-Yates
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
Our study is based on browsing data of 2.5M users across 760 sites encompassing diverse types of services such as social media, news and mail.  ...  We then discuss a number of insights on multitasking patterns, and show how these help to better understand how users engage with sites.  ...  In addition, backpaging increases with session length and is associated with shorter time spent on a page (see the coefficient of the linear regression model in Section 4.2).  ... 
doi:10.1145/2505515.2505543 dblp:conf/cikm/LehmannLDB13 fatcat:7loxo22uazg3paeaxlsqbbny64

Faculty citation measures are highly correlated with peer assessment of computer science doctoral programs [article]

Slobodan Vucetic, Ashis Kumar Chanda, Shanshan Zhang, Tian Bai, Aniruddha Maiti
2017 arXiv   pre-print
By combining those two groups of measures using linear regression, we create the Scholar score whose Pearson correlation with the peer assessment is 0.933 and which explains 87.2% of the variance in the  ...  News peer assessment are much higher correlated with the Scholar score than the next 57 ranked programs, indicating the deficiencies of peer assessment of less-known CS programs.  ...  To find a web site of a CS department, we followed a web link provided by the U.S. News.  ... 
arXiv:1708.05435v1 fatcat:goapy4uzzjbdlk4yhura63lgwi

You Are How (and Where) You Search? Comparative Analysis of Web Search Behaviour Using Web Tracking Data [article]

Aleksandra Urman, Mykola Makhortykh
2021 arXiv   pre-print
We also test relationships between user demographics and daily number of searches, average share of search activities among tracked events by user as well as the tendency to click on higher- or lower-ranked  ...  We conduct a comparative analysis of desktop web search behaviour of users from Germany (n=558) and Switzerland (n=563) based on a combination of web tracking and survey data.  ...  characteristics, controlling for the total number of web pages visited.  ... 
arXiv:2105.04961v1 fatcat:rnk4klnzwvgblawtm547ovxxgu

Ads and the city

Diego Saez-Trumper, Daniele Quercia, Jon Crowcroft
2012 Proceedings of the sixth ACM conference on Recommender systems - RecSys '12  
Yet, upon Foursquare data of "who visits what" in the city of London, we show that a state-of-the-art recommender system does not perform well -mainly because of data sparsity.  ...  We model these insights into two simple models and learn that: 1) simply recommending power users works better than random but is far from producing the best recommendations; 2) an item-based recommender  ...  We thank Tamas Jambor for his help on the Implicit SDV algorithm and his valuable insights, and the reviewers for their constructive comments.  ... 
doi:10.1145/2365952.2365988 dblp:conf/recsys/Saez-TrumperQC12 fatcat:mm6ssb4jcfbljpnajzfbmj4qym

Dominated destinations of tourist inside Iraq using personal information and frequency of travel

Rula Amjed, Muayad Sadik Croock
2019 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
The collected information are reprocessed and coded for the specified nominal data using tied rank.  ...  The proposed model was used for analyzing personal information and types of preferred tourism places as a factors affecting frequency of travel in Iraq.  ...  In the n-element subset consisting of identical elements, these elements maybe numbered from 1 to n. For each of them can be assigned a rank that is equal to the average value of these numbers.  ... 
doi:10.12928/telkomnika.v17i4.11956 fatcat:2fxydybshrfkbeq6kweq5u4lze

The Effectiveness of Centralized Payment Network Advertisements on Digital Branding during the COVID-19 Crisis

Damianos P. Sakas, Ioannis Dimitrios G. Kamperos, Dimitrios P. Reklitis, Nikolaos T. Giannakopoulos, Dimitrios K. Nasiopoulos, Marina C. Terzi, Nikos Kanellos
2022 Sustainability  
In the final stage, an agent-based model is outlined in order to simulate and forecast a company's brand name visibility and user behavior.  ...  As a result, there is ample opportunity for marketing managers and professionals to focus on big data from FinTech websites.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su14063616 fatcat:khh74cwoqzhr7dq4agtoewsmli

Ranking Pages by Topology and Popularity within Web Sites [article]

Jose Borges, Mark Levene
2004 arXiv   pre-print
The first, called Site Rank, is an adaptation of PageRank to the granularity of a web site and the second, called Popularity Rank, is based on the frequencies of user clicks on the outlinks in a page that  ...  We ran experiments on artificially created web sites of different sizes and on two real data sets, employing the relative entropy to compare the distributions of the two ranking methods.  ...  On the other hand, the Popularity Rank is based on a model, where the transition probabilities of outlinks are determined by usage according to server web logs, that is, by the number of times the link  ... 
arXiv:cs/0412002v3 fatcat:wsah2snthbap7adnjxyp6b57fi

Identification of efficient algorithms for web search through implementation of learning-to-rank algorithms

Nikhil Dhake, Shital Raut, Ashwini Rahangdale
2019 Sadhana (Bangalore)  
This paper focuses on finding out the best algorithm for web search by implementation of different state-of-the-art algorithms for learning-to-rank.  ...  Today, amount of information on the web such as number of publicly accessible web pages, hosts and web data is increasing rapidly and exhibiting an enormous growth at an exponential rate.  ...  These search engines are differentiated based on frequency of indexing-specific web sites. Ranking can be regarded as a standard issue in the area of IR.  ... 
doi:10.1007/s12046-019-1073-5 fatcat:j7hcmnjcwjaujcqlzmbgfgims4

Learning usability assessment models for web sites

Paul A. Davis, Frank M. Shipman
2011 Proceedings of the 15th international conference on Intelligent user interfaces - IUI '11  
By having one or more Web site managers rate a subset of pages in a site based on a number of usability criteria, the approach builds models that determine what automatically measurable characteristics  ...  This research explores an approach to learning types of usability concerns considered useful for the management of Web sites and to identifying usability concerns based on these learned models.  ...  Thanks also go to my friends and colleagues and the department faculty and staff for making my time at Texas A&M University a great experience.  ... 
doi:10.1145/1943403.1943433 dblp:conf/iui/DavisS11 fatcat:e3ivacs3xbbjjbtj75x4l5nnly
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