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Stochastic models for tabbed browsing

Flavio Chierichetti, Ravi Kumar, Andrew Tomkins
2010 Proceedings of the 19th international conference on World wide web - WWW '10  
We perform a series of experiments to compare our tabbed browsing model with pagerank, and show that tabbed browsing is able to explain 15-25% of the deviation between actual measured browsing behavior  ...  We present a model of tabbed browsing that represents a hybrid between a Markov process capturing the graph of hyperlinks, and a branching process capturing the birth and death of tabs.  ...  Acknowledgments We thank the anonymous reviewers for their suggestions.  ... 
doi:10.1145/1772690.1772716 dblp:conf/www/ChierichettiKT10a fatcat:47qgl7ym65aztfase6crwdgrfq

Modeling parallel web browsing behavior for web-based educational systems

Martin Labaj, Maria Bielikova
2012 2012 IEEE 10th International Conference on Emerging eLearning Technologies and Applications (ICETA)  
In this paper, we introduce a model for parallel browsing behavior based on events tracked with client-side scripting.  ...  However, if we could record the parallel browsing behavior, we could better understand the user's activity, goals and improve learner model employed for personalization.  ...  In [5] , a model based on stochastic process was applied to logs of visited pages and their referrers.  ... 
doi:10.1109/iceta.2012.6418330 fatcat:ieoov44nnvchrmko2tzoczvwye

GreenBrowsing: Towards Energy Efficiency in Browsing Experience [chapter]

Gonçalo Avelar, Luís Veiga
2014 Lecture Notes in Computer Science  
A system that proposes the provision of (i) a Google Chrome extension to monitor, rationalize and reduce the energy consumption of the browsing experience and (ii) a Certification Scheme for dynamic web  ...  Web 2.0 allowed for the enhancement and revamp of web pages' aesthetics and interaction mechanics.  ...  [8] that follows a stochastic approach. The authors describe a continuous-time Markov Decision Process (MDP) as the system's power model.  ... 
doi:10.1007/978-3-662-43352-2_10 fatcat:r75sfonygnb5fkehzfuukolrbu

New tab page recommendations cause a strong suppression of exploratory web browsing behaviors [article]

Homanga Bharadhwaj, Nisheeth Srivastava
2018 arXiv   pre-print
Examination of their browsing behavior reveals that typical frequency and recency-based methods for displaying websites in these displays subdues users' propensity to access infrequently visited pages  ...  Inspired by traditional demonstrations of a part-set cueing effect in the cognitive science literature, we performed an online experiment manipulating the operation of the 'New Tab' page for consenting  ...  Unlike more intricate agent-based models of browsing behavior, such as in [14] , which try to capture both within and across website browsing behavior, the model we use above makes predictions only for  ... 
arXiv:1812.06525v1 fatcat:62dms6tkandxtoars56cbmloau

Remembering what we like: Toward an agent-based model of Web traffic [article]

Bruno Goncalves, Mark R. Meiss, Jose J. Ramasco, Alessandro Flammini, Filippo Menczer
2009 arXiv   pre-print
The model can also account for branching, a traffic property caused by browser features such as tabs and the back button.  ...  This model for the first time allows us to capture the extreme heterogeneity of aggregate traffic measurements while explaining the more narrowly focused browsing patterns of individual users.  ...  Camp of the IU School of Informatics for support and infrastructure. We also thank the network engineers of Indiana University for their support in deploying and managing the data collection system.  ... 
arXiv:0901.3839v1 fatcat:3ssuvvjarbeundvek6hjbpxfyi

Incorporating the surfing behavior of web users into pagerank

Shatlyk Ashyralyyev, B. Barla Cambazoglu, Cevdet Aykanat
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
., PageRank) or the web browsing patterns of users (e.g., BrowseRank). Unfortunately, both types of feedback have certain drawbacks.  ...  In this work, we combine these two types of feedback under a hybrid page ranking model in order to alleviate the above-mentioned drawbacks.  ...  Given that many users browse the Web by opening multiple browser tabs [14] and concurrently following links in different tabs, a time-ordered sequence of page visits may not be sufficient to obtain the  ... 
doi:10.1145/2505515.2505668 dblp:conf/cikm/AshyralyyevCA13 fatcat:m7iz6pnc35dbvaqwga466eabq4

RuleBender: a visual interface for rule-based modeling

Wen Xu, Adam M. Smith, James R. Faeder, G. Elisabeta Marai
2011 Computer applications in the biosciences : CABIOS  
Rule-based modeling (RBM) is a powerful and increasingly popular approach to modeling intracellular biochemistry. Current interfaces for RBM are predominantly text-based and command-line driven.  ...  Availability: RULEBENDER is freely available for Mac, Windows and Linux at  ...  Model browsing and editing: the Model Editor window (Fig. 1 , left panel) in RuleBender consists of a toolbar, a tabbed editor pane and a console that displays output of simulations and other tasks performed  ... 
doi:10.1093/bioinformatics/btr197 pmid:21493655 pmcid:PMC3106190 fatcat:y77athphe5exbj263gklu6oxju

Agents, bookmarks and clicks

Mark R. Meiss, Bruno Gonçalves, José J. Ramasco, Alessandro Flammini, Filippo Menczer
2010 Proceedings of the 21st ACM conference on Hypertext and hypermedia - HT '10  
Second, agents can retreat along visited links, a branching mechanism that also allows us to reproduce behaviors such as the use of a back button and tabbed browsing.  ...  We show that all of these traffic patterns can be explained by an agent-based model that takes into account several realistic browsing behaviors.  ...  Camp of the IU School of Informatics and Computing, for support and infrastructure; and the network engineers of Indiana University for support in data collection.  ... 
doi:10.1145/1810617.1810658 dblp:conf/ht/MeissGRFM10 fatcat:7uch2vwyovgqjajdie5fpncjwu

Modeling Traffic on the Web Graph [chapter]

Mark R. Meiss, Bruno Gonçalves, José J. Ramasco, Alessandro Flammini, Filippo Menczer
2010 Lecture Notes in Computer Science  
As no current model reconciles all of these observations, we present an agent-based model that explains them through realistic browsing behaviors: (1) revisiting bookmarked pages; (2) backtracking; and  ...  The resulting model can reproduce the behaviors we observe in empirical data, especially heterogeneous session lengths, reconciling the narrowly focused browsing patterns of individual users with the extreme  ...  Camp of the IU School of Informatics and Computing, for support and infrastructure. We also thank IU's network engineers for support in data collection.  ... 
doi:10.1007/978-3-642-18009-5_6 fatcat:5kfaaffemvfhllybn35fr2gvh4

How happy is your web browsing? A model to quantify satisfaction of an Internet user searching for desired information

Anirban Banerji, Aniket Magarkar
2012 Physica A: Statistical Mechanics and its Applications  
Evolution of satisfaction over the entire time interval of user's browsing was modeled with auto-correlation analysis.  ...  How does the profile of happiness grow and decay during the course of web-browsing?  ...  stochastic processes.  ... 
doi:10.1016/j.physa.2012.02.002 fatcat:sclkiq6euzbfnfhtwuvqiqvfou

Optimization of an Intelligent Music-Playing System Based on Network Communication

Liaoyan Zhang, Zhihan Lv
2021 Complexity  
For the implementation of data collection and statistics module, this paper adopts Flume and Kafka to collect user behavior data and uses Spark Streaming and Redis to count music popularity trends and  ...  actual requirements of the system, the functional and performance goals of the system are proposed to address these deficiencies, and then the functional structure, general architecture, and database model  ...  Music Browsing Module Implementation. is module realizes the functions of browsing singers and singles by category, querying singers' popular singles, and playing music. ere are three tabs of "Recommend  ... 
doi:10.1155/2021/9943795 fatcat:d2famaast5epba4rcfnu4greuy

Floodfort User Manual V0.9

Paul Smith
2017 Zenodo  
Version 0.9 of the user manual for the Flood Forecasting Toolbox (FloodForT) written for developing Data Based Mechanisitic flood forecasting models with the R statistical computing environment.  ...  On first selecting the Read Data tab the user is asked to load the data for the analysis (Figure 4 ). Clicking the Browse button opens a file browser for selection of the file to be loaded.  ...  Results for the estimated models are shown in the three subsidiary tabs. The Results Table tab shows a sortable table of model performance for the calibration period.  ... 
doi:10.5281/zenodo.263485 fatcat:3kketdrwrvhknkmjm5o66eyfpm

HyLeak: Hybrid Analysis Tool for Information Leakage [chapter]

Fabrizio Biondi, Yusuke Kawamoto, Axel Legay, Louis-Marie Traonouez
2017 Lecture Notes in Computer Science  
We present HyLeak, a tool for reasoning about the quantity of information leakage in programs.  ...  The leakage estimation is mainly based on a hybrid method that combines precise program analysis with statistical analysis using stochastic program simulation.  ...  For example the following structure is allowed: FOR loop can be used to browse all the elements of an array.  ... 
doi:10.1007/978-3-319-68167-2_11 fatcat:whuqbirtnrhmnojfn5cpydvsha

Analytics on video-based learning. A literature review

Niels Seidel
2017 Fachtagung "e-Learning" der Gesellschaft für Informatik  
This article provides a systematic literature review on Learning Analytics methods and applications for video-based learning.  ...  For that purpose 33 research articles have been analyzed and described regarding aspects of capturing, measuring, visualizing data that represent user behavior and learning activities.  ...  "looking for something", "aimless browse") at random times during playback. Ki14b, Si14, Ki14a]).  ... 
dblp:conf/delfi/Seidel17 fatcat:pkrvd4ywpjad5oedfoxwnnzzlu

GSDB: a database of 3D chromosome and genome structures reconstructed from Hi-C data

Oluwatosin Oluwadare, Max Highsmith, Douglass Turner, Erez Lieberman-Aiden, Jianlin Cheng
2020 BMC Molecular and Cell Biology  
enable the exploration of the dynamic architectures of chromosomes and genomes for biomedical research.  ...  The GSDB contains over 50,000 structures from 12 state-of-the-art Hi-C data structure prediction algorithms for 32 Hi-C datasets.GSDB functions as a centralized collection of genome structures which will  ...  Clicking on the "Browse" menu in the Navigation tab or on the "Get started" button on the home page will load the Database search window Browse the database Click on "Browse" menu in the navigation bar  ... 
doi:10.1186/s12860-020-00304-y pmid:32758136 fatcat:dhmlzlykt5gkjcbrkgnchwakuy
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