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RNTI

MODULAD
“Engage moi”: From retrieval effectiveness, user satisfaction to user engagement
In EGC 2017, vol. RNTI-E-33, pp.1-2
Résumé
The effective prediction of a click remains a primary challenge in the areas of search, digital
media and online advertising. In the context of search, satisfying a userâ˘A ´ Zs information need
by returning results that they will click on is an important objective in any information retrieval
system. Consequently, information retrieval systems have had a long and varied history of how
to evaluate their effectiveness of responding to a given query. However, building such a system
that not only only returns relevant results to a user query but also encourages a long-term
relationship between the user and the system is far more challenging. In this talk, we review
the current state-of-the-art evaluation approaches for search before exploring other ways of
quantifying more long-term engagement measures. Finally, the talk ends with a proposal of
how the two approaches can be considered together to create a service that optimises for the
query and the longer term engagement aspects.