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A case-based recommendation approach for market basket data

Autor
Gatzioura, A.; Sànchez-Marrè, M.
Tipus d'activitat
Article en revista
Revista
IEEE intelligent systems
Data de publicació
2015-01-01
Volum
30
Número
1
Pàgina inicial
20
Pàgina final
27
DOI
https://doi.org/10.1109/MIS.2014.57 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/78235 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6894473 Obrir en finestra nova
Resum
In recent years, recommender systems have become an important part of various applications, supporting both customers and providers in their decision-making processes. However, these systems still must overcome limitations that reduce their performance, like recommendations' overspecialization, cold start, and difficulties when items with unequal probability distribution appear or recommendations for sets of items are asked. A novel approach, addressing the above issues through a case-based reco...
Citació
Gatzioura, A., Sànchez-Marrè, M. A case-based recommendation approach for market basket data. "IEEE intelligent systems", 01 Gener 2015, vol. 30, núm. 1, p. 20-27.
Paraules clau
Case Based Reasoning, Items’ Cooccurring Patterns, Market Basket Analysis, Recommender Systems, Set of Items Recommendations, User Preference Learning
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants

Arxius