| Intelligent Techniques for Web Personalization: Ijcai 2003 Workshop, Itwp 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers 2005 Edition Contributor(s): Mobasher, Bamshad (Editor), Anand, Sarabjot Singh (Editor) |
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ISBN: 3540298460 ISBN-13: 9783540298465 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: November 2005 Annotation: This book constitutes the thoroughly refereed post-proceedings of the Second Workshop on Intelligent Techniques in Web Personalization, ITWP 2003, held in Acapulco, Mexico in August 2003 as part of IJCAI 2003, the 18th International Joint Conference on Artificial Intelligence. The 17 revised full papers presented were carefully selected and include extended versions of some of the papers presented at the ITWP 2003 workshop as well as a number of invited chapters by leading researchers in the field of Intelligent Techniques for Web Personalization. The papers are organized in topical sections on user modelling, recommender systems, enabling technologies, personalized information access, and systems and applications. |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | System Administration - Storage & Retrieval - Computers | Computer Science |
| Dewey: 004.678 |
| Physical Information: 0.71" H x 6.14" W x 9.21" (1.05 lbs) 328 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Web personalizationcan be de?ned as any set of actions that can tailor the Web experience to a particular user or set of users. The experience can be something as casualas browsinga Web site oras (economically)signi?cantas tradingstock or purchasing a car. The actions can range from simply making the presentation more pleasing to anticipating the needs of a user and providing customized and relevant information. To achieve e?ective personalization, organizations must rely on all available data, including the usage and click-stream data (re?e- ing user behavior), the site content, the site structure, domain knowledge, user demographics and pro?les. In addition, e?cient and intelligent techniques are needed to mine these data for actionable knowledge, and to e?ectively use the discovered knowledge to enhance the users' Web experience. These techniques must address important challenges emanating from the size and the heteroge- ity of the data, and the dynamic nature of user interactions with the Web. E-commerce and Web information systems are rich sources of di?cult pr- lems and challenges for AI researchers. These challenges include the scalability of the personalization solutions, data integration, and successful integration of techniques from machine learning, information retrievaland ?ltering, databases, agent architectures, knowledge representation, data mining, text mining, stat- tics, user modelling and human-computer interaction. Throughout the history of the Web, AI has continued to play an essential role in the development of Web-based information systems, and now it is believed that personalization will prove to be the "killer-app" for AI. |