This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Mining Web Data, WEBKDD 2001 held in San Francisco, CA, USA in August 2001. The seven revised full papers went through two rounds of reviewing an improvement. The book addresses key issues in mining Web log data for e-commerce. The papers are devoted to predicting user access, recommender systems and access modeling, and acquiring and modeling data and patterns.
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Inside This Book
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First Sentence:
The way users navigate a Web site can be used to learn about their preferences and offer them a better adapted interface, from improving site design [43] to offering dynamic personalization [33]. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
jacket shoppers, indirect itempairs, web personalization applications, sequential indirect association, camera shoppers, recommender services, average distance within cluster, prefetched documents, att element, network transfer time, prefetching algorithm, transition frequency matrix, frequent subtrees, acquisition server, web usage mining, analysis tier, web usage data, pruning criterion, logarithmic series distribution, sequence mining, web log files, path traversal patterns, user access patterns, cube model, dynamic clustering Key Phrases - Capitalized Phrases (CAPs): (learn more)
Waiting Room, Data Engineering, User Manager, Weighing Room, Artificial Intelligence, Computing Systems, Human Factors, Springer-Verlag Berlin Heidelberg, Int'l Conf, New York, Java Code Engineering, San Diego, Data Analysis, Management of Data, Working Draft, Collaborative Filtering Workshop, Definitions Sheet, Knowledge Organization, Let Path, San Francisco, Web Characterization Terminology New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The way users navigate a Web site can be used to learn about their preferences and offer them a better adapted interface, from improving site design [43] to offering dynamic personalization [33]. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
jacket shoppers, indirect itempairs, web personalization applications, sequential indirect association, camera shoppers, recommender services, average distance within cluster, prefetched documents, att element, network transfer time, prefetching algorithm, transition frequency matrix, frequent subtrees, acquisition server, web usage mining, analysis tier, web usage data, pruning criterion, logarithmic series distribution, sequence mining, web log files, path traversal patterns, user access patterns, cube model, dynamic clustering Key Phrases - Capitalized Phrases (CAPs): (learn more)
Waiting Room, Data Engineering, User Manager, Weighing Room, Artificial Intelligence, Computing Systems, Human Factors, Springer-Verlag Berlin Heidelberg, Int'l Conf, New York, Java Code Engineering, San Diego, Data Analysis, Management of Data, Working Draft, Collaborative Filtering Workshop, Definitions Sheet, Knowledge Organization, Let Path, San Francisco, Web Characterization Terminology New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 25
books:
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- Information Visualization by Robert Spence on page 22, and page 24
- Logic Programming (Lecture Notes in Artificial Intelligence) by A. Voronkov in Back Matter (1), and Back Matter (2)
- Computational Logic: Logic Programming and Beyond: Essays in Honour of Robert A. Kowalski, Part II (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Antonis C. Kakas in Back Matter (1), and Back Matter (2)
- on page 23, and page 143
- Multi-Agent Systems and Applications: 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School, EASSS 2001, ... / Lecture Notes in Artificial Intelligence) by Michael Luck in Back Matter
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