Weblog Recommendation Using Association Rules
نویسندگان
چکیده
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.
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