Publications
Authors:
  • Jean-Marc Andreoli , Rushed Kanawati , Brigitte Trousse
Citation:
Proc. of RAPC'99, Palaiseau, France, 15-17 June 1999
Abstract:
This work reports on the applicability of the Broadway recommendation computation approach for implementing
a query refinement (QR) service in the context of a distributed information retrieval and gathering system. The
Broadway recommendation approach is based on the following hypothesis: recommend to one user items or
actions that have satisfied users that have behaved similarly to her/him. The case-based reasoning (CBR)
paradigm is proposed to design Broadway-based recommenders. The design of such recommenders is
facilitated by the use of the indexing scheme with time-extended situation of CBR*Tools, a CBR framework
developped at INRIA; a crucial feature for enabling modeling and comparing users behaviors. We show how to
integrate a query refinement recommender in the context CBKB, a meta-search engine developped at XRCE.
Year:
1999
Report number:
1999/203
Attachments: