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An Effective Recommender System for Highly Dynamic and Large Web Sites [chapter]

Ranieri Baraglia, Francesco Merlo, Fabrizio Silvestri
2004 Lecture Notes in Computer Science  
The component is able to manage very large Web sites made up of dinamically generated pages by means of an efficient LRU-based database management strategy.  ...  Usually other recommender systems exploit a kind of two-phase architecture composed by an off-line component that analyzes Web server access logs and generates information used by a successive online component  ...  In this demo, we present a recommender system, called SUGGEST, which is designed to dynamically generated personalized content of potential interest for users of a Web Site.  ... 
doi:10.1007/978-3-540-30116-5_56 fatcat:7cnkedntszejno7hamo3havvye

A Study: Web Data Mining Challenges and Application for Information Extraction

T. Sunil kumar
2012 IOSR Journal of Computer Engineering  
The aim of this paper is to explore the role of data mining for information extraction in web content, structure and usages mining in current web models, and the outlines the process of extracting patterns  ...  In addition to studying a classification of data mining systems, and it's challenging research issues for building data mining tools of the future.  ...  as a major tool for efficient storage, retrieval, and management of large amounts of data.  ... 
doi:10.9790/0661-0732429 fatcat:5zizdojz3vfe7cfdnkdvhsdnwm

Living analytics methods for the web observatory

Ernesto Diaz-Aviles
2013 Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion  
We center the discussion on two areas: (i) Recommender Systems for Big Fast Data and (ii) Collective Intelligence, both key components towards an analytics toolbox for our Web Observatory.  ...  The hundred of millions of users who are actively participating in the Social Web are exposed to ever-growing amounts of sites, relationships, and information.  ...  Effective recommendation systems and personalized ranking are key elements in this scenario.  ... 
doi:10.1145/2487788.2488169 dblp:conf/www/Diaz-Aviles13 fatcat:woxilu7ahnanpasywnsjnus5wy

Online content optimization with effective event monitoring approach
IJARCCE - Computer and Communication Engineering

Sajithra. N, Priyadarshini. D
2015 IJARCCE  
Our proposed system builds an online dynamic learning framework for personalized recommendation.  ...  It provides user action analysis is critical for a recommender system. The system proposes a novel implicit user feedback and event monitoring schemes for efficient content optimization.  ...  Hence this mostly depends on what category which an individual user falls into that site; this feature is done by dynamically recommending links for him to navigate.  ... 
doi:10.17148/ijarcce.2015.4107 fatcat:6tvatifvp5fk7emt2vqolkofai

Data mining for Web intelligence

Jiawei Han, K.C.-C. Chang
2002 Computer  
Web-linkage and Web-dynamics analysis thus provide the basis for discovering high-quality documents.  ...  Conceptually, the deep Web provides an extremely large collection of autonomous and heterogeneous databases, each supporting specific query interfaces with different schema and query constraints.  ... 
doi:10.1109/mc.2002.1046977 fatcat:53klpcrkyvdtvgmswl3msaljmm

Novelty and Social Search in the World Wide Web [article]

Bernardo A. Huberman, Lada A. Adamic
1998 arXiv   pre-print
We present a dynamical theory of recommendations which predicts site visits by users of the World Wide Web.  ...  The World Wide Web is fast becoming a source of information for a large part of the world's population.  ...  Acknowledgements We thank Jim Pitkow for providing the data for our analysis and his comments on the paper, and Rajan Lukose for many useful discussions.  ... 
arXiv:cs/9809025v1 fatcat:xzzoc27w6vgwjj2rbe25kufaha

Study on Personalization Recommendation System Based on Recruitment Information

Tao Tan, Leting Tan
2012 Procedia Engineering  
Finally, the efficiency and effectiveness of the personalization recommendation are verified through the experiment.  ...  With the rapid development of Deep Web, a large number of Deep Web information often lead to "information overload" and "information disorientated ", yet, personalized service can solve this problem.  ...  With the arrival of the era of web2.0, web database is widely applied in all kinds of dynamic web site, and web is also boosting its "deepening" process.  ... 
doi:10.1016/j.proeng.2012.01.041 fatcat:3jlakh44lveuhdeo7cvbgesogy

A Dynamic Web Mining Framework for E-Learning Recommendations using Rough Sets and Association Rule Mining

A. Anitha, Dr.N. Krishnan
2011 International Journal of Computer Applications  
World wide web is a huge information source, broadly used for learning now-a-days due to flexibility of time, sharing of learning resources and infrastructure etc., Most of web based learning system lacks  ...  expert-learner interaction, assessment of user activities and learners are getting drowned by huge number of web pages in the learning web site and they find difficulties in choosing suitable materials  ...  Flow diagram of Proposed Recommendation System for e-learning An equivalence class is defined by a binary relation whose value is 1 for all members of the class.  ... 
doi:10.5120/1724-2326 fatcat:uu6jijjw5zatnihqy4ug73blvu

WEBKDD 2002

Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava, Osmar R. Zaiane
2002 SIGKDD Explorations  
In this paper, we provide a summary of the WEBKDD 2002 workshop, whose theme was 'Web Mining for Usage Patterns and Profiles'.  ...  This workshop was held in conjunction with the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2002).  ...  On the user side, as usage experience and sophistication grows, there is an increasing demand for Web sites to be responsive to the needs of users.  ... 
doi:10.1145/772862.772888 fatcat:cni7phqrujhrnjxsjucosynezm

WebKDD 2005

Olfa Nasraoui, Osmar R. Zaïane, Myra Spiliopoulou, Bamshad Mobasher, Brij Masand, Philip S. YU
2005 SIGKDD Explorations  
In this report, we summarize the contents and outcomes of the recent WebKDD 2005 workshop on Web Mining and Web Usage Analysis that was held in conjunction with the 11th ACM SIGKDD International Conference  ...  The theme of this workshop was "Taming Evolving, Expanding and Multi-faceted Web Clickstreams".  ...  Session 1: Recommendation systems and Personalization The three papers of this session dealt with Recommendation systems and Personalization. and showed that such an attack can be highly successful against  ... 
doi:10.1145/1117454.1117475 fatcat:kd2fftl6n5dc7cen5ssvqeq6zm

Integrating User Data and Collaborative Filtering in a Web Recommendation System [chapter]

Paolo Buono, Maria Francesca Costabile, Stefano Guida, Antonio Piccinno
2002 Lecture Notes in Computer Science  
Filtering techniques are used to analyse profile data and provide recommendation to the users to help them navigating in the site and retrieving information of interest.  ...  Web-based applications with a large variety of users suffer from the inability to satisfy heterogeneous needs.  ...  For this, personalisation is becoming an expected feature of e-business web sites. A personalisation component builds and exploits models or profiles of the users interacting with the system.  ... 
doi:10.1007/3-540-45844-1_29 fatcat:sjvoyvnjxfhm5ocbkmne5o6ssa

A Personalization Recommendation Method Based on Deep Web Data Query

Tao Tan, Hongjun Chen
2012 Journal of Computers  
Finally, developed a prototype recommendation system based on recruitment information, verified the efficiency and effectiveness of the personalization recommendation and the coverage and cost of Deep  ...  According to this kind of demand, this paper introduced personalization recommendation to the Deep Web data query, proposed a user interest model based on fine-grained management of structured data and  ...  INTRODUCTION With the rapid development of internet technology, the number of web sites and web pages is growing in an explosive speed.  ... 
doi:10.4304/jcp.7.7.1599-1606 fatcat:ga4v72l6vndkhngjxnnz5iffgq

Understanding Merchandising Effectiveness of Online Stores

Juhnyoung Lee, Mark Podlaseck, Edith Schonber
2000 Electronic Markets  
highly dynamic and personalized.  ...  This ability of dynamically scanning Web pages as they are served is critical for tracking Web usage, because more and more Web pages are dynamically created from databases and contain personalized and  ... 
doi:10.1080/10196780050033944 fatcat:ongf4xgawba2rcpefvwcmsjq7a

Recommender systems for e-learning: towards non-intrusive web mining [chapter]

O.R. Zaïane
2006 Data Mining in E-Learning  
In this chapter we discuss methods to build recommender systems for e-learning that are non-intrusive and true to the choices of users.  ...  These agents can be very useful in an e-learning environment to recommend actions, resources or simply links to follow.  ...  Evaluating hybrid recommenders To demonstrate the effectiveness of the hybrid approach using all three information channels, usage, linkage and content, to build an effective recommender system for shortcuts  ... 
doi:10.2495/1-84564-152-3/05 fatcat:cormqwqzrrdifkr4634jzurm7m

Firefox (In) security update dynamics exposed

Stefan Frei, Thomas Duebendorfer, Bernhard Plattner
2008 Computer communication review  
We conjecture that users in large part do not actually patch their Web browsers based on recommendations, perceived threats, or any security warnings.  ...  Although there is an increasing trend for attacks against popular Web browsers, only little is known about the actual patch level of daily used Web browsers on a global scale.  ...  ACKNOWLEDGMENTS We would like to thank Tom Dillon, Niels Provos (both from Google), Gunter Ollmann (IBM Internet Security Systems), Martin May, and Daniela Brauckhoff (both ETH Zurich), and the anonymous  ... 
doi:10.1145/1496091.1496094 fatcat:ttxjv7jikvb37ndol6angoq3qy
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