社会化问答服务中用户需求与信息内容的相关性评价研究——以“百度知道”为例  

Study on the Evaluation Creteria of Relevance of Users'Need and Information Content in Social Question and Answer Service:Take Baidu Knows as an Example

作　　者：蒋楠[1] 王鹏程[2] 

机构地区：[1]武汉大学信息管理学院 [2]武汉大学信息资源研究中心,武汉430072

出　　处：《信息资源管理学报》2012年第3期35-45,共11页Journal of Information Resources Management

摘　　要：本文选择社会化问答服务平台作为研究对象,构建一个基于相关性理论的评价模型,探讨影响提问者做出满意答案判定的指标,进而实证分析哪些指标最终影响用户判断以及不同的信息主题间判断标准是否存在差异。研究结果显示出内容、效用和社会情感因素是多数提问者判定答案的标准,不同主题类目下的满意答案的判定标准也不同,本文研究结果可为其他类型知识服务或自动化问答系统提高用户需求匹配度提供参考。A relevance framework for evaluating answers in social question and answer service is con- structed to study the factors that affect users answer choice. Whether the relevance criteria vary in different topic is also discussed in this paper. The study shows that content, utility and social emotion are the topic 3 criteria class for evaluating information in social question and answer service. The relevance significance of each criterion differentiates according to topic categories. The study will do some help in improving the matching degree to users information demand in other kinds of knowledge service and automatic question and answer system.

关 键 词：社会化问答服务 相关性 评价指标 

分 类 号：G350[文化科学—情报学]