RT Journal Article
T1 RecoLiBry-Core: a component-based framework for building recommender systems
A1 Jorro Aragoneses, José Luis
A1 Recio García, Juan Antonio
A1 Díaz Agudo, María Belén
A1 Jiménez Díaz, Guillermo
AB Recommendation systems are a key part of almost every modern consumer website. These systems include techniques to filter, explore and rank a huge amount of information based on users’ preferences or similar items. Designing and implementing a recommender system from scratch require skills of programming and recommending technologies. In this paper we describe RecoLibry-core, a framework to develop recommender systems based on the reuse of components provided by third-party frameworks.
PB Elsevier
YR 2019
FD 2019-10-15
LK https://hdl.handle.net/20.500.14352/108128
UL https://hdl.handle.net/20.500.14352/108128
LA eng
DS Docta Complutense
RD 17 abr 2025