WEBLOG RECOMMENDATION USING ASSOCIATION RULES
Juan Enrique Nieto-Julián, Merelo Guervós, Pedro Ángel Castillo, Beatriz Prieto Campos, José Carpio Cañada, Fernando Tricas García, Gemma Ferreres · 2006
Weblogs are web sites where one or several authors publish their opinions about current events. Even in Spain, there are several thousands, and it is often difficult to find a weblog that meets one's interest. Recommendation services thus become, if not a need, at least a convenience. In this paper we propose automatic extraction of association rules from the results of a survey as a means to recommend to weblog readers other weblogs about related topics, based on the results of a survey. We examine different support/confidence thresholds, and study resulting rules; as a result, we find novel relationships between weblogs, that would not have been found through other means.