CAJ | 학술논문

微博作为一个新的传播平台，为用户提供越来越多信息和服务的同时，也出现了信息超载等一系列问题。鉴于此提出了基于内容的热门微话题推荐方法，通过计算微博用户与微话题的相似性，从而实现为微博用户提供个性化的微话题推荐，解决用户面对的信息超载等问题，为用户节省时间，使之更有效地使用微博，增强微博用户的使用体验。针对新浪微博用户，提出了适合本研究的基于内容的推荐算法，将此算法应用到中文文本平台上，实现了新浪微博热门微话题的个性化推荐实证研究，并对推荐结果进行了准确性验证。
미박작위일개신적전파평태，위용호제공월래월다신식화복무적동시，야출현료신식초재등일계렬문제。감우차제출료기우내용적열문미화제추천방법，통과계산미박용호여미화제적상사성，종이실현위미박용호제공개성화적미화제추천，해결용호면대적신식초재등문제，위용호절성시간，사지경유효지사용미박，증강미박용호적사용체험。침대신랑미박용호，제출료괄합본연구적기우내용적추천산법，장차산법응용도중문문본평태상，실현료신랑미박열문미화제적개성화추천실증연구，병대추천결과진행료준학성험증。
As a new communication platform, microblogging provides users with more and more information and services, at the same time, however, a series of problems such as information overload appear. The significance of this research is that it can provide users with personalized topic recommendation, thus help solve the information overload problem facing them, save their time, improve the effective-ness of microblogging using, and enhance the experience of microblogging users. A content-based recommendation algorithm suitable for this study for Sina Weibo users is presented and used to Chinese text platform, the empirical study of the proposed personalized recommen-dation on popular micro-topic is then conducted, and the accuracy of the recommended results is verified at last.