Cargando…
Effect of Dataset Size on Efficiency of Collaborative Filtering Recommender Systems with Multi-clustering as a Neighbourhood Identification Strategy
Determination of accurate neighbourhood of an active user (a user to whom recommendations are generated) is one of the essential problems that collaborative filtering based recommender systems encounter. Properly adjusted neighbourhood leads to more accurate recommendation generated by a recommender...
Autor principal: | Kużelewska, Urszula |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304038/ http://dx.doi.org/10.1007/978-3-030-50420-5_25 |
Ejemplares similares
-
Neural Collaborative Filtering with Ontologies for Integrated Recommendation Systems
por: Alaa El-deen Ahmed, Rana, et al.
Publicado: (2022) -
A Strategy toward Collaborative Filter Recommended Location Service for Privacy Protection
por: Wang, Peng, et al.
Publicado: (2018) -
Drug Recommendation System for Diabetes Using a Collaborative Filtering and Clustering Approach: Development and Performance Evaluation
por: Granda Morales, Luis Fernando, et al.
Publicado: (2022) -
Collaborative Filtering Recommendation on Users’ Interest Sequences
por: Cheng, Weijie, et al.
Publicado: (2016) -
Modeling of Recommendation System Based on Emotional Information and Collaborative Filtering
por: Kim, Tae-Yeun, et al.
Publicado: (2021)