Advances in Web Mining and Web Usage Analysis 6th International Workshop on Knowledge Discovery on the Web, WEBKDD 2004, Seattle, WA, USA, August 22-25, 2004, Revised Selected Papers /

TheWebisaliveenvironmentthatmanagesanddrivesawidespectrumofapp- cations in which a user may interact with a company, a governmental authority, a non-governmental organization or other non-pro?t institution or other users. User preferences and expectations, together with usage patterns, form the basi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Mobasher, Bamshad (Editor ), Nasraoui, Olfa (Editor ), Liu, Bing (Editor ), Masand, Brij (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Lecture Notes in Artificial Intelligence, 3932
Temas:
Artificial intelligence.
Computer networks .
Database management.
Information storage and retrieval systems.
Application software.
Computers and civilization.
Artificial Intelligence.
Computer Communication Networks.
Database Management.
Information Storage and Retrieval.
Computer and Information Systems Applications.
Computers and Society.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Web Usage Analysis and User Modeling
  • Mining Temporally Changing Web Usage Graphs
  • Improving the Web Usage Analysis Process: A UML Model of the ETL Process
  • Web Personalization and Recommender Systems
  • Mission-Based Navigational Behaviour Modeling for Web Recommender Systems
  • Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors
  • Collaborative Quality Filtering: Establishing Consensus or Recovering Ground Truth?
  • Search Personalization
  • Spying Out Accurate User Preferences for Search Engine Adaptation
  • Using Hyperlink Features to Personalize Web Search
  • Semantic Web Mining
  • Discovering Links Between Lexical and Surface Features in Questions and Answers
  • Integrating Web Conceptual Modeling and Web Usage Mining
  • Boosting for Text Classification with Semantic Features
  • Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts.

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