Discovering MARS: A Mobility Aware Recommender System

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Leal, R (Autor) Outra; Costa, PM (Autor) Outra; Teresa Galvão Dias (Autor) FEUP

Ata de Conferência Internacional

Título: 2015 IEEE 18th International Conference on Intelligent Transportation Systems

Páginas: 1-6

Indexação

ISI Web of Knowledge - 12 Citações

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-00K-163

DOI: 10.1109/itsc.2015.8

Abstract (EN): Recommender systems have radically changed the way people find products, services and information. They are a precious tool in e-commerce and other online services and have slowly been clawing their way into the real-world stage. Location is one of the variables that can be useful in this new situation. While this particular area has been the subject of some research, it can go even further with the exploration of mobility. In this work, we analyze the integration of mobility in a recommender system with real mobility data from a public transportation network. We developed an algorithm that incorporates location and frequency in a conventional recommender system. Our results show successful recommendations of items adapted to users' mobility patterns.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6