ABSTRACT:
Search engines continue to struggle with the challenges
presented by Web search: vague queries, impatient users
and an enormous, and rapidly expanding, collection of
unmoderated, heterogeneous documents all make for an
extremely hostile search environment. Conventional approaches
to Web search‹those that adopt a traditional,
document-centric, information retrieval perspective‹are
limited by their refusal to consider the past search
behaviour of users during future search sessions.
Collaborative Web Search (CWS) seeks to exploit the
high degree of natural query repetition and result selection
regularity that is prevalent among communities of searchers.
CWS reuses the search experiences of community members,
to promote results that have previously been judged relevant
for queries. This facilitates a better response to the
type of vague queries that are commonplace in Web search
and allows a generic search engine to adapt to the preferences
of communities of individuals.
SPEAKER BIO:
Dr Jill Freyne is a postdoctoral researcher at the Department
of Computer Science in University College Dublin. She
received her PhD and BSc degrees from UCD, and worked
as part of the I-SPY research project which focuses on
personalized, community based Web search.
She has since worked as a Post Doctoral Researcher in
the Adaptive Information Cluster in the School of Computer
Science and Informatics working in the areas of social
support, annotations and digital graffiti. |
