计算机与现代化
計算機與現代化
계산궤여현대화
COMPUTER AND MODERNIZATION
2015年
8期
89-92
,共4页
社区问答系统%问题推荐%用户活跃度%衰减窗口
社區問答繫統%問題推薦%用戶活躍度%衰減窗口
사구문답계통%문제추천%용호활약도%쇠감창구
community question answering system%question recommendation%user active degree%damped window
在社区问答系统中，每天大量涌现的问题导致用户很难寻找自己感兴趣并且擅长的问题进行回答。为了更好地解决这一问题，本文根据用户兴趣，将用户的活跃度指数融入推荐算法。实验结果显示，该方法在一定程度上提高了问题推荐的效率。
在社區問答繫統中，每天大量湧現的問題導緻用戶很難尋找自己感興趣併且擅長的問題進行迴答。為瞭更好地解決這一問題，本文根據用戶興趣，將用戶的活躍度指數融入推薦算法。實驗結果顯示，該方法在一定程度上提高瞭問題推薦的效率。
재사구문답계통중，매천대량용현적문제도치용호흔난심조자기감흥취병차천장적문제진행회답。위료경호지해결저일문제，본문근거용호흥취，장용호적활약도지수융입추천산법。실험결과현시，해방법재일정정도상제고료문제추천적효솔。
In the community question answering system, there are so many questions that lead to the user very difficult to find his interested in and be good at questions to answer.In order to solve this problem, this paper based on user’ s interest and then put his recent activity into the recommendation algorithm.The experiment results show that this modified method can improve the effi-ciency of algorithm to some degree.
