Adaptive Weblog Post Filtering Based on User Browsing History
نویسندگان
چکیده
One of the most important Web-based services that established the foundations of the Web 2.0 is the weblog. Weblogs are evolving to be topic based systems that can lead to more revenue for companies. Therefore many companies provide free weblog hosting. Weblog popularity is an effective factor to gain more revenue. Weblogs have posts and topics that are arranged chronologically with the most recent post first. Some weblogs have so many posts that it makes finding a specific post very difficult. On the other hand irrelevant ordering of the posts makes it worse. Weblogs that do not have the posts in a proper order may result in decreasing the popularity of weblogs. Our experiments on Farsi weblogs have shown that many viewers close weblog windows before they are completely loaded in their Web browsers. This is due to a large number of posts on the weblogs. Adaptive filtering of the posts on the weblogs can provide the readers with information that interests them. This paper introduces a new approach for filtering and reordering weblog posts based on user’s browsing history. Our experimental results show that our filtering approach can improve weblog popularity and increases the number of
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