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Guest editorial: Machine learning for the Internet
Gary William Flake, Paolo Frasconi, C. Lee Giles, Marco Maggini
Collaborative recommendation: A robustness analysis
Michael O'Mahony, Neil Hurley, Nicholas Kushmerick, Guénolé Silvestre
Collaborative recommendation has emerged as an effective technique for personalized information access. However, there has been relatively little theoretical analysis of the conditions under which the technique is effective. To explore this issue,...
Topical web crawlers: Evaluating adaptive algorithms
Filippo Menczer, Gautam Pant, Padmini Srinivasan
Topical crawlers are increasingly seen as a way to address the scalability limitations of universal search engines, by distributing the crawling process across users, queries, or even client computers. The context available to such crawlers can...
Market-based recommendation: Agents that compete for consumer attention
Sander M. Bohte, Enrico Gerding, Han La Poutré
The amount of attention space available for recommending suppliers to consumers on e-commerce sites is typically limited. We present a competitive distributed recommendation mechanism based on adaptive software agents for efficiently allocating...