Towards Contextual Search: Social Networks, Short Contexts and Multiple Personas

被引：0

作者：

Kramar, Tomas ^{[1
]}

机构：

[1] Slovak Univ Technol Bratislava, Fac Informat & Informat Technol, Inst Informat & Software Engn, Bratislava 84216, Slovakia

来源：

USER MODELING, ADAPTATION, AND PERSONALIZATION | 2011年 / 6787卷

关键词：

personalized search; search context; personas; social networks;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present an approach to contextual search, based on the automatically extracted metadata from visited documents. User model represents user's interests as a combination of tags, keywords and named entities. Such user model is further enhanced by automatically detected communities of similar users, based on the similarities of their models. The user may belong to multiple communities, each representing one of her possibly many personas roles or stereotypes, facets of her interests. We discuss further possibilities of using this model to bring more fine-grained contextualization and search improvement by using short contexts.

引用

页码：434 / 437

页数：4

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