期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2017
卷号：9
期号：1
页码：99
出版社：International Center for Scientific Research and Studies
摘要：Self-adaptation is an important capability of applications deployed in dynamically changing environments, such as adaptive information filtering (AIF). Immunological inspiration is typically applied to the computational perspective to promote software with characteristics such as self-organization, adaptation and learning. In this paper, we experiment the features of dynamic clonal selection (DCS) focusing on the gene libraries to produce reasonable coverage of detectors to detect changes of multi interest of topics. We experiment how the capability of DCS through diversity of detector in gene libraries classify multi topics of user’s interests. Moreover, we further investigate the ability of the DCS to forget a previous topic when it starts to process a new topic. The results shows that the antibody-antigen interaction of B cells and the introduction of the diverse coverage of detectors helps further improve the capability for identifying new and potentially uninteresting topics thus have a positive effect on the adaptability of the profile to changes in user interests.
关键词：Adaptive Information Filtering; Dynamic Clonal Selection; Gene Libraries; Profile Adaptation; Dynamic User Profile
