Aggregation of preferences in recommender systems


Autoria(s): Beliakov, Gleb; Calvo, Tomasa; James, Simon
Contribuinte(s)

Ricci, Francesco

Rokach, Lior

Shapira, Bracha

Kantor, Paul B.

Data(s)

01/01/2011

Resumo

This chapter gives an overview of aggregation functions toward their use in recommender systems. Simple aggregation functions such as the arithmetic mean are often employed to aggregate user features, item ratings, measures of similarity, etc., however many other aggregation functions exist which could deliver increased accuracy and flexibility to many systems. We provide definitions of some important families and properties, sophisticated methods of construction, and various examples of aggregation functions in the domain of recommender systems.

Identificador

http://hdl.handle.net/10536/DRO/DU:30045337

Idioma(s)

eng

Publicador

Springer

Relação

http://dro.deakin.edu.au/eserv/DU:30045337/beliakov-aggregationofpreferences-2011.pdf

http://dro.deakin.edu.au/eserv/DU:30045337/beliakov-recommender-2011.pdf

Direitos

2011, Springer

Palavras-Chave #preferences #recommender systems
Tipo

Book Chapter