Users followee recommendation plays an important role in information sharing over microblogging platforms. The majority existing followee recommendation schemes adopt either content or background information relevance to measure the user distance,and most use a single factor for followee ranking,there is no classification for user groups,suffering poor performance. Thus this paper proposed a novel followee recommendation algorithm RTLR for non-celebrity that took into user the information sources of both fo...
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