Sciweavers

Share
WEBNET
2001

Deriving Context Specific Information on the Web

9 years 24 days ago
Deriving Context Specific Information on the Web
: The Web is huge, unstructured and diverse in quality, which makes searching for information difficult. In practice, few of the documents returned by a search engine are valuable to a user. Which documents are valuable depends on the context of the query. Some adequate context information provided in addition to keywords can improve significantly search precision. In this paper we propose a framework for dynamic conceptual clustering of web documents based on clusters of users that share common interests. The basic assumption is that the search results would be more relevant to a user when provided within the context of semantically related documents marked as `interesting' by a sufficiently large group of users with similar interests. This framework can support personalization of a search based on a search engine that `knows' the context of the user information needs and uses it to tailor the search results.
Christo Dichev, Darina Dicheva
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where WEBNET
Authors Christo Dichev, Darina Dicheva
Comments (0)
books