Cargando…
PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation
Next Point of Interest (POI) recommendation is an important aspect of information feeds for Location Based Social Networks (LSBNs). The boom in LSBN platforms such as Foursquare, Twitter, and Yelp has motivated a considerable amount of research focused on POI recommendations within the last decade....
Autores principales: | Zhong, Jinwen, Ma, Can, Zhou, Jiang, Wang, Weiping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304688/ http://dx.doi.org/10.1007/978-3-030-50433-5_4 |
Ejemplares similares
-
Personalized diversification of complementary recommendations with user preference in online grocery
por: Ma, Luyi, et al.
Publicado: (2023) -
A Ranking Recommendation Algorithm Based on Dynamic User Preference
por: Wei, Chunting, et al.
Publicado: (2022) -
Collaborative Filtering Recommendation on Users’ Interest Sequences
por: Cheng, Weijie, et al.
Publicado: (2016) -
Point-of-interest lists and their potential in recommendation systems
por: Stamatelatos, Giorgos, et al.
Publicado: (2021) -
Modeling Users’ Multifaceted Interest Correlation for Social Recommendation
por: Wang, Hao, et al.
Publicado: (2020)