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

Abstract

Abstract:

A relevance framework for evaluating answers in social question and answer service is constructed to study the factors that affect user`s 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 user`s information demand in other kinds of knowledge service and automatic question and answer system.

Key words: Social question and answer service, Relevance;　Criteria factors

CLC Number:

G350

Jiang Nan　Wang Pengcheng. 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[J]. Journal of Information Resources Management, 2012, 2(3): 35-45.

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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

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