计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2009年
31期
168-171
,共4页
用户兴趣模型%个性化图像检索%推理机%相关反馈
用戶興趣模型%箇性化圖像檢索%推理機%相關反饋
용호흥취모형%개성화도상검색%추리궤%상관반궤
user preference profile%personalized image retrieval%inference engine%relevance feedback
针对个性化图像检索的语义鸿沟问题,提出了一种新的用户兴趣模型的构建方法.将用户兴趣模型分为长期兴趣和短期兴趣:用户的短期兴趣由图像的低层特征映射得到;用户的长期兴趣经过推理机推理,将短期兴趣映射为高层语义得到,从而弥补语义鸿沟.实验结果表明,经过用户兴趣模型过滤的图像拴索结果符合用户的个性化要求,相比已有方法在查准率和查全率上取得了明显的改善.
針對箇性化圖像檢索的語義鴻溝問題,提齣瞭一種新的用戶興趣模型的構建方法.將用戶興趣模型分為長期興趣和短期興趣:用戶的短期興趣由圖像的低層特徵映射得到;用戶的長期興趣經過推理機推理,將短期興趣映射為高層語義得到,從而瀰補語義鴻溝.實驗結果錶明,經過用戶興趣模型過濾的圖像拴索結果符閤用戶的箇性化要求,相比已有方法在查準率和查全率上取得瞭明顯的改善.
침대개성화도상검색적어의홍구문제,제출료일충신적용호흥취모형적구건방법.장용호흥취모형분위장기흥취화단기흥취:용호적단기흥취유도상적저층특정영사득도;용호적장기흥취경과추리궤추리,장단기흥취영사위고층어의득도,종이미보어의홍구.실험결과표명,경과용호흥취모형과려적도상전색결과부합용호적개성화요구,상비이유방법재사준솔화사전솔상취득료명현적개선.
A method for constructing user preference profile in personalized image retrieval is proposed.This method is based on short-term interest and long-term interest,in which the short-tem interest vector is decided by analyzing the image low-lever features,and the long-term interest vector is deduced by collecting interests from inference engine.Experiments results show that the recall/precision are significantly improved and satisfied by personalized user as well.
