User Modelling for Adaptive Question Answering and Information Retrieval
User Modelling for Adaptive Question Answering and Information Retrieval
复制标题
自适应问答和信息检索的用户建模
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
S. Manandhar
中科院分区：
文献类型：
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作者：
S. Quarteroni;S. Manandhar
大多数问答（QA）和信息检索（IR）系统对不同用户的需求和偏好不敏感，对存在多个、复杂或有争议的答案也不敏感。我们通过引入基于用户模型的混合QA-IR系统，提出了QA和IR中的自适应概念。我们当前的原型根据阅读水平对搜索引擎返回的查询结果进行过滤和重新排序。这在学校环境中特别有用，因为最需要调整复杂信息的呈现以适应学生的理解水平。
Most question answering (QA) and information retrieval (IR) systems are insensitive to different users’ needs and preferences, and also to the existence of multiple, complex or controversial answers. We propose the notion of adaptivity in QA and IR by introducing a hybrid QA-IR system based on a user model. Our current prototype filters and re-ranks the query results returned by a search engine according to their reading level. This is particularly useful in school environments, where it is most needed to adjust the presentation of complex information to the pupils’ level of understanding.