Improving the Performance of Unit Critiquing [chapter]

Monika Mandl, Alexander Felfernig
2012 Lecture Notes in Computer Science  
Conversational recommender systems allow users to learn and adapt their preferences according to concrete examples. Critiquing systems support such a conversational interaction style. Especially unit critiques offer a low cost feedback strategy for users in terms of the needed cognitive effort. In this paper we present an extension of the experience-based unit critiquing algorithm. The development of our new approach, which we call nearest neighbor compatibility critiquing, was aimed at
more » ... ng the efficiency of unit critiquing. We combine our new approach with existing critiquing strategies to ensemble-based variations and present the results of an empirical study that aimed at comparing the recommendation efficiency (in terms of the number of critiquing cycles) of ensemble-based solutions with individual critiquing algorithms.
doi:10.1007/978-3-642-31454-4_15 fatcat:4gixe736sbblzhqyoq4o6r62qy