Abstract: Information overload and an abundance of choices create situations where selecting one option becomes extremely difficult or even worse, a guessing game. Collaborative ranking systems address this problem by creating intelligent rankings of items based on user opinions aggregation. This paper presents a metric-based multi-criteria recommender system that can be used on non-rigid sets of criteria. These systems fare well with respect to accuracy, transparency and flexibility.

Keywords: Multi-dimensional recommender system, metric method.

ACM Classification Keywords: H.4: Information systems applications

MSC: 68N30: Mathematical aspects of software engineering

Link:

METRIC BASED RECOMMENDER SYSTEMS

Ali Akhtarzada, Cristian S. Calude, John Hosking

http://www.foibg.com/ibs_isc/ibs-25/ibs-25-p09.pdf