Abstract
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.
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Kramár, T. (2011). Towards Contextual Search: Social Networks, Short Contexts and Multiple Personas. In: Konstan, J.A., Conejo, R., Marzo, J.L., Oliver, N. (eds) User Modeling, Adaption and Personalization. UMAP 2011. Lecture Notes in Computer Science, vol 6787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22362-4_45
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DOI: https://doi.org/10.1007/978-3-642-22362-4_45
Publisher Name: Springer, Berlin, Heidelberg
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