Web挖掘的进化机器学习

Amruta Joshi, Sapna Todwal
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引用次数: 1

摘要

Internet是一个广泛的信息来源,就时间复杂度而言,彻底搜索它是低效的。Web搜索是Internet上最普遍和最具影响力的应用之一。引入了一种名为SmartSeek的新搜索机制。受机器学习概念的启发,这种新技术采用遗传算法(GA)来适应用户的兴趣。系统接受用户反馈进行健康评估。该过程中涉及的突变操作确保了搜索不局限于有限的域。
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Evolutionary machine learning for Web mining
The Internet is an extensive source of information and searching it exhaustively is inefficient in terms of time complexity. Web search is one of the most universal and influential applications on the Internet. A new search mechanism called SmartSeek is introduced. Inspired by machine learning concepts, this new technique employs a genetic algorithm (GA) for adapting to the user's interests. The system accepts user feedback for fitness evaluation. The mutation operation involved in the process ensures that the search is not confined to a limited domain.
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