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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.  ...  A three-stage model was adopted by the authors.  ...  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.  ...  Therefore, a model consisting of three stages was applied.  ...  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.  ...  This paper solves the problem of defining phishing sites based on building a team model of fuzzy neural networks (FNNs). The main methods of phishing are analyzed.  ...  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

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  ...  Thus, in practice, the Site Rank provides a reasonable first order approximation of the aggregate behaviour of users within a web site given by the Popularity Rank.  ...  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

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

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 proposed model was used for analyzing personal information and types of preferred tourism places as a factors affecting frequency of travel in Iraq.  ...  The collected information are reprocessed and coded for the specified nominal data using tied rank.  ...  The third class was the exchange information (by activities that has a web sought information, page visiting information, and web based booking information.  ... 
doi:10.12928/telkomnika.v17i4.11956 fatcat:2fxydybshrfkbeq6kweq5u4lze

Effects of central nervous system antiretroviral penetration on cognitive functioning in the ALLRT cohort

Marlene Smurzynski, Kunling Wu, Scott Letendre, Kevin Robertson, Ronald J Bosch, David B Clifford, Scott Evans, Ann C Collier, Michael Taylor, Ronald Ellis
2011 AIDS (London)  
We assessed the relationship between estimates of antiretroviral therapy penetration into the CNS, using a published ranking system, and neurocognitive status in HIV-positive participants with plasma HIV  ...  Methods: Multivariate linear regression models using generalized estimating equations assessed NPZ3 scores with respect to antiretroviral regimen. Covariates were retained if P 0.1.  ...  We would also like to thank the ALLRT team and the staff who work at participating ACTG sites and laboratories. In addition,  ... 
doi:10.1097/qad.0b013e32834171f8 pmid:21124201 pmcid:PMC3022370 fatcat:ilntndl635aqvbmn4jf3tessve

A Brief Review of Main SVM-based Ranking Models

Igor Yu. Botian, Lev V. Utkin
2014 European Journal of Technology and Design  
The paper deals with a critical review of SVM-based ranking models which are used to solve a certain set of machine learning problems.  ...  A problem connected with getting a training data for these models is also raised. Applications of the models are given, as well as future research directions.  ...  The content of the advertising banner exposure to user is based on his search history, visited web-sites, his geolocation, etc. Each search engine is based on the principle of data ranking.  ... 
doi:10.13187/ejtd.2014.3.18 fatcat:zsx7s7rkabhftgl2ddhd62ra6a

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.  ...  The recent work Olteanu et al. proposes a number of features (linguistic and social) to apply machine learning methods to recognize trust levels.  ...  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

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

Harvesting Crowdsourcing Platforms' Traffic in Favour of Air Forwarders' Brand Name and Sustainability

Damianos P. Sakas, Nikolaos Th. Giannakopoulos
2021 Sustainability  
The first of the three staged contexts, based on web data, includes the retrieval of web data analytics and metrics from five air forwarding and five crowdsourcing websites in 210 observation days.  ...  At stage two, we deployed a diagnostic-exploratory model, through Fuzzy Cognitive Mapping (FCM), and in the last stage, an Agent-Based Model is deployed for data prediction and simulation.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su13158222 fatcat:63jqnz23tbfyvfl7infbapw3zy

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.  ...  For the deployment of the diagnostic exploratory model, we performed linear regression modelling to metrics with the strongest correlations.  ... 
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  
We then discuss a number of insights on multitasking patterns, and show how these help to better understand how users engage with sites.  ...  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.  ...  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

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
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