A General Framework for People Retrieval in Social Media with Multiple Roles
Amin Mantrach, Jean-Michel Renders
Internet users are more and more playing multiple roles when
connected on the Web, such as posting", commenting", tagging" and
sharing" different kinds of information on various social media. Despite
the research interest in the field of social networks, few has been done
up to now w.r.t. information access in multi-relational social networks
where queries can be multifaceted queries (e.g. a mix of textual key-words
and key-persons in some social context). We propose a unified and efficient framework to address such complex queries on multi-modal social"
collections, working in 3 distinct phases, namely: (I) aggregation of doc-
uments into modal profiles, (II) expansion of mono-modal subqueries to
mono-modal and multi-modal subqueries, (III) relevance score computa-
tion through late fusion of the different similarities deduced from profiles
and subqueries obtained during the first two phases. Experiments on the
ENRON email collection for a recipient proposal task show that compet-
itive results can be obtained using the proposed framework.
34th European Conference on Information Retrieval, Barcelona, Spain, 1-5 April, 2012.