Adaptrank: a hybrid method for improving recommendation recall

Authors:
Maciej Kiewra;Ngoc Thanh Nguyen
Affiliations:
Fujitsu Spain Services, Pozuelo de Alarcon, Madrid, Spain;Institute of Information Science & Engineering, Wroclaw University of Technology, Poland
Venue:
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Year:
2007

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Abstract

A hybrid recommendation method is presented in this paper. Its main goal is to improve recommendation recall maintaining high recommendation precision and adaptive ability. The formal model is used to define the method and to analyze how the measures known from traditional Information Retrieval may be adapted to recommendation. The presented theorems show that the method is able to adapt to changing user's needs and achieve the maximal effectiveness if the component methods work properly.