Web Page Recommendation Models

Web Page Recommendation Models

One of the application areas of data mining is the World Wide Web (WWW or Web), which serves as a huge, widely distributed, global information service for every kind of information such as news, advertisements, consumer information, ...

Author: Sule Gunduz-Oguducu

Publisher: Morgan & Claypool Publishers

ISBN: 9781608452484

Category: Computers

Page: 85

View: 213

One of the application areas of data mining is the World Wide Web (WWW or Web), which serves as a huge, widely distributed, global information service for every kind of information such as news, advertisements, consumer information, financial management, education, government, e-commerce, health services, and many other information services. The Web also contains a rich and dynamic collection of hyperlink information, Web page access and usage information, providing sources for data mining. The amount of information on the Web is growing rapidly, as well as the number of Web sites and Web pages per Web site. Consequently, it has become more difficult to find relevant and useful information for Web users. Web usage mining is concerned with guiding the Web users to discover useful knowledge and supporting them for decision-making. In that context, predicting the needs of a Web user as she visits Web sites has gained importance. The requirement for predicting user needs in order to guide the user in a Web site and improve the usability of the Web site can be addressed by recommending pages to the user that are related to the interest of the user at that time. This monograph gives an overview of the research in the area of discovering and modeling the users' interest in order to recommend related Web pages. The Web page recommender systems studied in this monograph are categorized according to the data mining algorithms they use for recommendation. Table of Contents: Introduction to Web Page Recommender Systems / Preprocessing for Web Page Recommender Models / Pattern Extraction / Evaluation Metrics
Categories: Computers

Advances in Web Mining and Web Usage Analysis

Advances in Web Mining and Web Usage Analysis

Significant improvement can also be achieved by making use of domain
knowledge, which is usually available from domain experts, content providers,
web designers and the web-pages themselves. Few recommendation models
have been ...

Author: Olfa Nasraoui

Publisher: Springer Science & Business Media

ISBN: 9783540774846

Category: Computers

Page: 246

View: 914

As intelligent autonomous agents and multiagent system applications become more pervasive, it becomes increasingly important to understand the risks associated with using these systems. Incorrect or inappropriate agent behavior can have harmful - fects, including financial cost, loss of data, and injury to humans or systems. For - ample, NASA has proposed missions where multiagent systems, working in space or on other planets, will need to do their own reasoning about safety issues that concern not only themselves but also that of their mission. Likewise, industry is interested in agent systems that can search for new supply opportunities and engage in (semi-) automated negotiations over new supply contracts. These systems should be able to securely negotiate such arrangements and decide which credentials can be requested and which credentials may be disclosed. Such systems may encounter environments that are only partially understood and where they must learn for themselves which aspects of their environment are safe and which are dangerous. Thus, security and safety are two central issues when developing and deploying such systems. We refer to a multiagent system s security as the ability of the system to deal with threats that are intentionally caused by other intelligent agents and/or s- tems, and the system s safety as its ability to deal with any other threats to its goals."
Categories: Computers

Experiment and Evaluation in Information Retrieval Models

Experiment and Evaluation in Information Retrieval Models

A Web recommenders system (WRS) is a Web-based interactive software agent.
... 17.1 Recommendation Methodologies Learning automata algorithms for web
page recommendations are on the user's navigational behavior in a website to ...

Author: K. Latha

Publisher: CRC Press

ISBN: 9781315392615

Category: Computers

Page: 282

View: 185

Experiment and Evaluation in Information Retrieval Models explores different algorithms for the application of evolutionary computation to the field of information retrieval (IR). As well as examining existing approaches to resolving some of the problems in this field, results obtained by researchers are critically evaluated in order to give readers a clear view of the topic. In addition, this book covers Algorithmic Solutions to the Problems in Advanced IR Concepts, including Feature Selection for Document Ranking, web page classification and recommendation, Facet Generation for Document Retrieval, Duplication Detection and seeker satisfaction in question answering community Portals. Written with students and researchers in the field on information retrieval in mind, this book is also a useful tool for researchers in the natural and social sciences interested in the latest developments in the fast-moving subject area. Key features: Focusing on recent topics in Information Retrieval research, Experiment and Evaluation in Information Retrieval Models explores the following topics in detail: Searching in social media Using semantic annotations Ranking documents based on Facets Evaluating IR systems offline and online The role of evolutionary computation in IR Document and term clustering, Image retrieval Design of user profiles for IR Web page classification and recommendation Relevance feedback approach for Document and image retrieval
Categories: Computers

Proceedings of the 2nd USENIX Symposium on Internet Technologies and Systems USITS 99 October 11 14 1999 Boulder Colorado USA

Proceedings of the 2nd USENIX Symposium on Internet Technologies and Systems  USITS  99   October 11 14  1999  Boulder  Colorado  USA

A conceptual model depicting the various stages of users traversing a web site .
... The " What ' s Related " tool button on the Netscape browser developed by
Alexa , provides recommendations based on content , link structure , and usage ...

Author:

Publisher: Usenix Assoc

ISBN: 188044626X

Category: Internet

Page: 254

View: 204

Categories: Internet

KDD

KDD

The discovered user models are then used for a variety of applications such as
personalized recommendations . ... Experiments on real Web site usage data
sets show that this approach can achieve better recommendation accuracy ,
when ...

Author:

Publisher:

ISBN: UOM:39015058745186

Category: Data mining

Page:

View: 400

Categories: Data mining

23rd Conference on Agricultural and Forest Meteorology

23rd Conference on Agricultural and Forest Meteorology

Back adek Back Intes Spraying Recommendation Form Klahoma Peanut
Leafspot Model Output OSU . ... By using this interactive model , a pezout grower
can easily obtain the model recommendations for a given site . Please aote that
you will ...

Author:

Publisher:

ISBN: MINN:31951D02029903C

Category: Air

Page: 809

View: 878

Categories: Air

Web Technologies

Web Technologies

Here the system learns to make recommendations, i.e. predictions of interesting
web pages, as the actions to perform in ... model which might results various
problems such as the low coverage of recommendations or the “new item”
problem ...

Author: Arthur Tatnall

Publisher: IGI Global

ISBN: 9781605669823

Category: Computers

Page: 2630

View: 409

With the technological advancement of mobile devices, social networking, and electronic services, Web technologies continues to play an ever-growing part of the global way of life, incorporated into cultural, economical, and organizational levels. Web Technologies: Concepts, Methodologies, Tools, and Applications (4 Volume) provides a comprehensive depiction of current and future trends in support of the evolution of Web information systems, Web applications, and the Internet. Through coverage of the latest models, concepts, and architectures, this multiple-volume reference supplies audiences with an authoritative source of information and direction for the further development of the Internet and Web-based phenomena.
Categories: Computers

Advances in Artificial Intelligence

Advances in Artificial Intelligence

to the agent having found pages within multiple groups which are similar to the
topic at hand . ... 5 Discussion and Conclusions This paper describes a
framework for a multi - agent system for providing personalized web page
recommendations to users . The SWAMI framework features a sophisticated user
model using a social multi - agent system with a cost - driven and time - variable
interaction model ...

Author: Canadian Society for Computational Studies of Intelligence. Conference

Publisher:

ISBN: UOM:39015058751663

Category: Artificial intelligence

Page:

View: 823

Categories: Artificial intelligence

Learning to Surf

Learning to Surf

Multiagent Systems for Adaptive Web Page Recommendation Marko
Balabanovic, Stanford University. Computer Science Department. [ Asnicar and
Tasso , 1997 ) Fabio A . Asnicar and Carlo Tasso . ifWeb : a prototype of a user
model ...

Author: Marko Balabanovic

Publisher:

ISBN: STANFORD:36105019737548

Category: Human-computer interaction

Page: 182

View: 606

Two research issues motivate this work and distinguish it from approaches usually taken by information retrieval or machine learning researchers. First, a recommender system will have many users, with overlapping interests. How can this be exploited? Second, each edition of a personalized newspaper consists of a small set of articles. Techniques for deciding on the relevance of individual articles are well known, but how is the composition of the set determined?
Categories: Human-computer interaction

Global E government

Global E government

Moreover , correlations between pages not directly connected and previously
unknown associations between groups of users with specific interests may ...
Proposed recommendation model based on Web usage Idea Group Inc . is
prohibited .

Author: Latif Al-Hakim

Publisher: IGI Global

ISBN: IND:30000111589804

Category: Business & Economics

Page: 383

View: 780

"Interest in e-government, both in industry and in academies, has grown rapidly over the past decade. This book provides helpful examples from practitioners and managers involving real-life applications; academics and researchers contribute theoretical insights"--Provided by publisher.
Categories: Business & Economics

Proceedings of the International Joint Conference on Artificial Intelligence

Proceedings of the     International Joint Conference on Artificial Intelligence

Our last variation of models conditions the probability on the ordinal position of
the page request in the trail . ... assignment and random se ber of web page
recommendation systems developed in relection for the hard assignment ) , the
visitor's ...

Author:

Publisher:

ISBN: UOM:39015048296357

Category: Artificial intelligence

Page:

View: 121

Categories: Artificial intelligence

IUI 99 1999 International Conference on Intelligent User Interfaces

IUI 99  1999 International Conference on Intelligent User Interfaces

... and provide explicit feedback to the system . Fab uses the Web for collecting
pages for recommendation . ... For example , we plan to examine different
combinations of sub - models with various orders . Second , one problem of its
learning ...

Author: Mark T. Maybury

Publisher:

ISBN: STANFORD:36105022000769

Category: Artificial intelligence

Page: 205

View: 346

Categories: Artificial intelligence

Discovery Science

Discovery Science

Kazienko P . : Multi - agent Web Recommendation Method Based on Indirect
Association Rules . ... Nakagawa M . , Mobasher B . : Impact of Site
Characteristics on Recommendation Models Based On Association Rules and
Sequential ...

Author:

Publisher:

ISBN: UOM:39015058887442

Category: Computer science

Page:

View: 590

Categories: Computer science

Data Mining Applications for Empowering Knowledge Societies

Data Mining Applications for Empowering Knowledge Societies

Apart from neural networks classifiers , systems based on support vector
machines for Web document classification are ... three different classification
models ( decision trees , centroids and k - nearest - neighbor ) for automated
classification of Web pages ... ( 2005 ) combine neural networks with genetic
algorithms to analyse Web browsing paths for a recommendation system based
on intelligent agents .

Author: Hakikur Rahman

Publisher: IGI Global

ISBN: UOM:39015079281062

Category: Business & Economics

Page: 332

View: 713

"This book presents an overview on the main issues of data mining, including its classification, regression, clustering, and ethical issues"--Provided by publisher.
Categories: Business & Economics

Technical Writing

Technical Writing

... page design and , 107 , 108 , 110 , 111 , 112 quality and , 44 technical levels of
, 14 , 16–17 , 185 , 299 , 300 , 308 , 623 types of , 16-18 understanding , 15 web
site design and , 638 Receivers , 18 Recommendation reports , 268–69 model ...

Author: William S. Pfeiffer

Publisher: Pearson College Division

ISBN: PSU:000049235838

Category: Technology & Engineering

Page: 709

View: 427

This book offers an easy-to-use approach towards learning the fundamentals of technical writing. The author's writing style is user-friendly, and engages the reader by providing a comprehensive overview of current topics in technical writing. Chapter topics cover process in technical writing; ethics and globalism in the workplace; organizing information; page design; patterns of organization; process descriptions and instructions; letters, memos, and electronic communication; informal reports; formal reports; proposals and feasibility studies; graphics; oral communication; technical research; and style in technical writing. For professionals in the technical writing field.
Categories: Technology & Engineering

Destination Recommendation Systems

Destination Recommendation Systems

This book provides a comprehensive synthesis of the current status of research, representing the contributions of some of the leading researchers in destination marketing systems.

Author: Daniel R. Fesenmaier

Publisher: CABI

ISBN: 9781845931094

Category: Business & Economics

Page: 347

View: 109

An emerging area of study within technology and tourism focuses on the development of technologies which enable Internet users to quickly and effectively find relevant information about selected topics including travel destination, transportation, etc. This area of tourism research and development is generally referred to as destination marketing systems (DMSs) and brings together both applied and academic interests ranging from marketing and management to psychology, mathematics and computer sciences. This book provides a comprehensive synthesis of the current status of research, representing the contributions of some of the leading researchers in destination marketing systems.
Categories: Business & Economics

Toward a Personal Recommender System

Toward a Personal Recommender System

65 3.14 Mean Absolute Error for Community Built model 3.15 Model Size Growth
66 . ... 75 4.3 jcpenny.com recommendations for items to go with the Television
Radio / Latern combination . 76 4.4 ... 79 4.5 CiteSeer recommends research
papers and provides cross citation links 81 4.6 An example web page that has
been ...

Author: Bradley N. Miller

Publisher:

ISBN: MINN:31951P00819091F

Category:

Page: 370

View: 662

Categories:

Journal of Machine Learning Research

Journal of Machine Learning Research

case , once recommendations are available in the site ( thus changing the site
structure ) , skipping may prove beneficial . 5. An MDP - Based Recommender
Model The predictive model we described above does not attempt to capture the
 ...

Author:

Publisher:

ISBN: UCSD:31822035707991

Category: Machine learning

Page:

View: 693

Categories: Machine learning

Knowledge Based Intelligent Information and Engineering Systems 2

Knowledge Based Intelligent Information and Engineering Systems 2

The three-volume set LNAI 3213, LNAI 3214, and LNAI 3215 constitutes the refereed proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004, held in Wellington, New Zealand ...

Author: Mircea Gh. Negoita

Publisher: Springer Science & Business Media

ISBN: 9783540232063

Category: Business & Economics

Page: 1302

View: 867

The three-volume set LNAI 3213, LNAI 3214, and LNAI 3215 constitutes the refereed proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004, held in Wellington, New Zealand in September 2004.The over 450 papers presented were carefully reviewed and selected from numerous submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; among the areas covered are artificial intelligence, computational intelligence, cognitive technologies, soft computing, data mining, knowledge processing, various new paradigms in biologically inspired computing, and applications in various domains like bioinformatics, finance, signal processing etc.
Categories: Business & Economics