The Internet and the Web are continuously evolving giving rise to a rich and extremely dynamic environment where an increasing number of users require and expect new and more sophisticated services. Because of this, a field called “ Web Intelligence” is starting to receive interest from the Artificial Intelligence community. The Web and Internet pose new challenges to AI algorithms, which have been successfully applied in many other fields, at the same time stimu- lating the development of new techniques. In particular, as pointed out in the introduction to the first part of this special issue (Vol. 4, no. 2, May 2004), ma- chine learning methods have been extensively studied and have been applied to create intelligent systems that are actively involved with the Internet and Web.
G. W., F., P., F., C. L., G., Maggini, M. (2004). Machine Learning for the Internet Part 2 — Guest Editors’ Editorial. ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 4(4), 341-343 [10.1145/1031114.1031115].
Machine Learning for the Internet Part 2 — Guest Editors’ Editorial
MAGGINI, MARCO
2004-01-01
Abstract
The Internet and the Web are continuously evolving giving rise to a rich and extremely dynamic environment where an increasing number of users require and expect new and more sophisticated services. Because of this, a field called “ Web Intelligence” is starting to receive interest from the Artificial Intelligence community. The Web and Internet pose new challenges to AI algorithms, which have been successfully applied in many other fields, at the same time stimu- lating the development of new techniques. In particular, as pointed out in the introduction to the first part of this special issue (Vol. 4, no. 2, May 2004), ma- chine learning methods have been extensively studied and have been applied to create intelligent systems that are actively involved with the Internet and Web.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/31049
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