计算机应用研究2017，Vol.34Issue(6)：1640-1646,7.DOI:10.3969/j.issn.1001-3695.2017.06.009
一种融合用户学习过程的用户查询意图模型
User intent model fused with studying process
摘要
Abstract
User intent modeling is a hot point in researches of query expansion and query recommendation.But the large amount of noise in search log have great negative impact on the construction of user intent model.By observing the log it can be found that tentative click of the user is one of the main causations of irrelevant feedbacks.To solve the problem,this paper proposed the user intent model combined with studying process.It modeled the tentative clicks,and then identified and filtered those tentative clicks.Test results show that the model can effectively filter noises coming from tentative clicks when log owns high level noisy.After applying the model to query recommendation it can improve the precision of similarity computation among queries,and increases the precision of query recommendation obviously.关键词
用户查询意图模型/不相关反馈/用户学习过程/查询推荐Key words
user intent model/irrelevant feedback/user studying process/query recommendation分类
信息技术与安全科学引用本文复制引用
张博,张斌,孙达明,张书波..一种融合用户学习过程的用户查询意图模型[J].计算机应用研究,2017,34(6):1640-1646,7.基金项目
国家自然科学基金资助项目(61572116,61572117,61502089) （61572116,61572117,61502089）
国家关键科技研发基金资助项目(2015BAH09F02) （2015BAH09F02）
省科技攻关项目(2015302002) （2015302002）
中央高校东北大学基本科研专项基金资助项目(N150408001,N150404009) （N150408001,N150404009）
