Mitigating sparsity using Bhattacharyya Coefficient and items' categorical attributes: improving the performance of collaborative filtering based recommendation systems.
Pradeep Kumar SinghPijush Kanti Dutta PramanikPrasenjit ChoudhuryPublished in: Appl. Intell. (2022)
Keyphrases
- recommendation systems
- collaborative filtering
- data sparsity
- categorical attributes
- bhattacharyya coefficient
- recommender systems
- user preferences
- matrix factorization
- high dimensional
- recommendation quality
- collaborative filtering recommendation algorithm
- numerical attributes
- recommendation algorithms
- personalized recommendation
- data sets
- categorical data
- information loss
- continuous attributes
- transfer learning
- attribute values
- data mining
- mean shift
- web search
- missing values
- data points
- feature weights
- image segmentation
- machine learning