In order to deal with the problem of extracting interest of microblog users inaccurately, this paper proposed a microblog recommendation method based on extended interest of users. This method combined individual interest and associated interest to represent extended interest for recommending microblogs. It extracted individual interest of users from their tags, posted microblogs and interacted microblogs. Then it got associated interest by the strength of following/followed links, interaction frequency and individual interest similarity between users and their followee. Finally, it calculated the similarity between extended interest of users and the microblogs to be recommended, generated the recommendation lists by descending the order of similarity. Experimental results show that the method is more effective and precise than the traditional methods.

[2019-06-05] Printed Article /doc/2018.05.0264/v2